综合评价方法若干问题研究及其医学应用
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摘要
目的：
(1)拟解决目前综合评价领域中亟待解决的几个重要问题：①综合评价方法一般是对总体资料(特定空间和时间)进行评价,但某些特殊情形下,需要对样本资料评价,那么在综合排序时有必要考虑抽样误差对排序结果的影响,但目前综合评价方法对评价结果只能是描述,而不能进行统计推断,因此存在着抽样误差的估计问题。②多方法评价结论的非一致性困扰问题。③多指标综合评价若干方法中的逆序问题。④常用综合评价方法的软件系统缺乏问题。(2)从方法学上进一步改进和完善医疗卫生领域应用最为广泛的静态TOPSIS (Technique for Order Preference by Similarity to Ideal Solution)法并提出新的动态TOPSIS法。
方法：
通过广泛查阅文献,参考国内外相关研究成果,利用Monte Carlo模拟技术,针对样本资料,构建综合评价的抽样误差随机模拟模型。基于该模型的模拟结果,提出一种解决“多方法评价结论非一致性困扰问题”的新思路,即对综合评价的“概率结论”组合。通过研究理想点法、TOPSIS法、密切值法、SAW(Simple Additive Weighting)法、优序法、秩和比法以及信息熵客观定权法的逆序现象,找出各种方法产生逆序的原因,并提出解决方案。通过分析探讨传统的静态的TOPSIS存在的缺陷,提出静态TOPSIS法的改良方法。通过文献检索,发现目前医学科研中存在大量的含有时间因素的“立体时序数据集”,而目前对此种三维数据(含有“评价对象”、“评价指标”、“评价时间”)的评价,大多采用静态综合评价方法,不能反映事物动态变化。基于医学科研的综合评价需求,提出一种新的动态TOPSIS法。广泛参考国内外多种统计软件,听取广泛相关人员组成的议题小组的意见,基于Microsoft Excel2002软件,利用Microsoft Visual Basic6.0、Microsoft Visio2002和Visual Basic for Application语言开发了综合评价方法的简体中文版软件包(Comprehensive Evaluation Software,简称CES)。并用SAS6.12for Windows自行编制相应方法的SAS程序(TOPSIS法SAS程序己发表,见文献[143]；其余SAS程序己收入教材[144]),将SAS程序与CES在同一个计算机平台上对同一资料用各种综合评价方法进行分析,然后把两种分析结果一并列出,对每个数据均比较到小数点后15位,进行SAS与CES统计分析结果的比较。
结果：
1.本文建立了综合评价的抽样误差随机模拟模型并给出了相应的Mablab程序。
2.本文提出了“整体排序优先度”与“整体排序平均优先度”的概念,因此提出了一种综合评价结果的排序的新方法：按照“整体排序(平均)优先度”,从大到小排序。
3.对于样本资料,本文将综合评价的传统“绝对结论”改为“概率结论”,并依据“整体排序(平均)优先度”可对任何综合评价方法的结果分档。
4.本文模拟了TOPSIS法、SAW法、RSR法的抽样误差,发现：①即使指标独立、均服从正态分布,TOPSIS法与SAW法某些评价对象的综合评价值可能会服从正态分布,而另一些评价对象的综合评价值不服从正态分布。而RSR法的模拟RSRi值均不服从正态分布。②TOPSIS法、SAW法、RSR法的综合评价值均有上下限：0≤Ci≤1,0≤Ai≤m,0 5.本文提出了一种解决“多方法评价结论非一致性困扰问题”的新思路——从现有的组合方法中挑选合适的方法对“整体排序平均优先度”组合。即对综合评价的“概率结论”组合。
6.理想点法、TOPSIS法、密切值法、SAW法、优序法、秩和比法以及信息熵客观定权法均存在逆序问题。
7.理想点法产生逆序的原因：理想点的计算与评价对象紧密相连,当增加或删除含有最优点或最劣点的评价对象时,理想解选择的范围扩大或缩小了,理想点改变了,每个评价对象到理想点的距离就会发生变化,各评价对象之间的优劣顺序也很容易发生变化,从而产生逆序。
TOPSIS法产生逆序的原因：①归一化矩阵的计算；②最优方案与最劣方案的计算。
密切值法产生逆序的原因：①标准化矩阵的计算；②最优点与最劣点的计算；③密切值Ci=di/d-li/l的计算。
SAW法产生逆序的原因：指标的标准化法中最大值与最小值的选取。
优序法产生逆序的原因：优序数的给定方法与评价对象紧密相连,当增加或删除不含最大值的评价对象时,优序数必然改变,则排序结果也会改变。
秩和比法产生逆序的原因：指标秩的编制方法与评价对象紧密相连,当增加或删除不含最大值的评价对象时,指标秩和秩和比必然改变,则排序结果也会改变。
信息熵定权法产生逆序的原因：①归一化矩阵的计算；②信息熵的计算。
8.本文提出了绝对理想点法、改进TOPSIS法、改进密切值法、改进SAW法可解决其逆序问题。
9.本文提出了一种新的改良静态TOPSIS法。
10.本文提出了一种基于指标值及指标增量的新的动态TOPSIS法。
11.编制了综合评价软件包CES简体中文1.1版。主要包括：层次分析法、TOPSIS法、密切值法、模糊综合评价、灰色关联分析、功效系数法、秩和比法等模块。CES1.1大小约2.78M.CES1.1可在Microsoft Excel97以上版本运行,运行后成为Excel的一个菜单。自编的SAS程序与CES1.1对同一资料用不同综合评价方法的分析结果均非常接近,除了秩和比法两者主要指标的结果差异小于10-7,其余方法两者差异均小于10-12。
结论：
1.本文建立的综合评价的抽样误差随机模拟模型,具有通用性,灵活方便。对任何抽样资料,任何综合评价方法,该模型都适用。依据本文提出的“整体排序优先度”与“整体排序平均优先度”的概念,按照“整体排序(平均)优先度”排序,是一种有效的综合评价结果排序的新方法。
2.在抽样研究中,即使指标独立、均服从正态分布,TOPSIS法、SAW法、RSR法各评价对象的综合评价值不一定会服从正态分布。当某评价对象的综合评价值靠近其上限或下限时,则此时综合评价值可能呈偏态分布。
3.本文提出的综合评价结论的新表达方法与方式——“概率结论”,相对于传统的“绝对结论”,它具有更好的开放性,也更贴近实际。
4.基于“概率结论”的组合法不仅包含了“绝对结论”的信息,还考虑了抽样误差的影响,其组合结果更合理、可信。
5.理想点法、TOPSIS法、密切值法、SAW法、优序法、秩和比法以及信息熵客观定权法均存在逆序问题。
6.本文提出的绝对理想点法、改进TOPSIS法、改进密切值法、改进SAW法均具有强保序性。
7.对于逆序问题不能消除的方法,如优序法、秩和比法等,应用时应慎重考虑其评价有效范围及具体资料情况,最好适用于一个绝对无任何变动的评价对象集,当决策者合理地变更评价对象时,它们就不再适用了。对于逆序现象合理存在的信息熵定权法没有必要去消除逆序问题。可与主观赋权法结合采用组合赋权,减少逆序的发生。
8.本文提出的新的改良静态TOPSIS法,它具有强保序性,并且很好的解决了传统TOPSIS法Ci值的缺陷。
9.本文提出的新的动态TOPSIS法,继承了传统静态TOPSIS法的所有优点,是一种有效的综合评价方法,适用于包含了“评价对象”、“评价指标”及“评价时间”的三维资料。它可既考虑“过去情况”、“现在状况”,也关注“将来发展趋势”。
10.本文研制的CES1.1,其分析结果是可靠的,它使广大实际工作者从繁杂的计算中解放出来,极大促进了综合评价方法的推广与应用。它继承了目前人们普遍使用和熟知的办公软件Excel的风格,应用界面友好,操作简单易用,对统计专业人士与非统计专业人士均适用。
Objective:
(1)To Solve the four problems of the comprehensive evaluation field in the world at present:①Because of lack of the accuracy measure of the sensitivity and stability of all kinds of comprehensive evaluation methods, the sampling errors cannot be estimated in the sampling research usually.②Inconsistency among the evaluation conclusions drawn by different evaluation methods exists in the multi-attribute evaluation.③The Problem of Inverted Sequence in Synthetic Appraisal.④The problem of lack of comprehensive evalution softwarepackage.(2) To further improve and perfect the static TOPSIS approach which is applied widely in the medicine and hygiene fields. What's more, a novel dynamic TOPSIS method is presented.
Methods:
By reviewing the domestic and foreign research and considering the suggestions of experts, we make use of the Monte Carlo simulation technology to develop a stochastic simulation model of the sampling errors of comprehensive evaluation methods.Based on the results of this model,a novel thinking which can work out the problem of inconsistency among the evaluation conclusions drawn by different evaluation methods is proposed. That is combination of probability results.We find out the reasons of reverse order phenomenon of a variety of methods and put forward the solving solution by studying Ideal Point method,TOPSIS method, Osculating Value method, SAW method, Precedence Order method,RSR method and information entropy method.By means of analyzing and dicussing the defaults of the traditional static TOPSIS method, a novel modified TOPSIS approach is raised. Literature retrieval reveals that there are plentiful Multi-Dimensional Time Series Data which contains the time factor.But most researches adot the static synthetical evaluation methods which cannot reflect the dynamic changes of things. Based on the needs of comprehensive evaluation in medical scientific research, we come up with a fresh dynamic TOPSIS method, we studied the structure of many domestic and international excellent statistical softwares,and consulted ideas and suggestions from nominal group. Then we use Microsoft Visual Basic6.0、Microsoft Visio2002and VBA (Visual Basic for Application) to develop a comprehensive evaluation software (CES) based on Microsoft Excel2002. Moreover,we use CES1.0and SAS6.12to analyze the same data file on the same PC, One of the SAS programs has been published[143],the others have been adopted by book[144]. Main indexes with15-bit decimal fraction of different comprehensive evaluation methods was given by CES1.1and SAS6.12,which enabled us to compare the accuracy of CES1.1and SAS6.12.
Results:
1.This paper develops a stochastic simulation model of the sampling errors of comprehensive evaluation methods and gives the matlab programs of the model.
2. This paper advances the conceptions of "The Overall Scheduling Priority"and "The Overall Average Scheduling Priority", and proposes a new sorting method of the results of comprehensive evaluation methods that is sorting the results in a ascending order according to " The Overall (Average)Scheduling Priority".
3.This paper changes the conventional "Absolute conclusion" of comprehensive evaluation methods to "probability results " for the sample data.We can staple any results of comprehensive evaluation methods in accordance with "The Overall (Average)Scheduling Priority".
4. This paper simulating the sampling errors of TOPSIS method, SAW method and RSR method finds that:①Even if the variables are independent and obey the normal distribution, the comprehensive evaluation values of some objects of TOPSIS method and SAW method may follow the normal distribution,while other objects may not comply with the normal distribution.Especially, all objects of RSR method disobey the normal distribution.②The comprehensive evaluation values of TOPSIS method, SAW method, RSR method have upper and lower limits:0≤Ci≤1,0≤Ai≤m,0 5.This paper proposes a novel thinking which can work out the problem of inconsistency among the evaluation conclusions drawn by different evaluation methods. That is, selecting proper methods from the existing combinatorial methods to combine " The Overall (Average)Scheduling Priority", in other words combination of probability results.
6. The Ideal Point method, TOPSIS method, Osculating Value method, SAW method, Precedence Order method,RSR method and Information Entropy method all have reversal phenomena.
7. The reasons of the Ideal Point method generating reverse are as follows:The ideal point calculation and the evaluation objects are closely linked.When the evaluation objects containing the optimum point or the pessimum point are added or deleted, the selection range of ideal solution is enlarged or reduced.Once the ideal points change,the distance between the evaluation objects and the ideal points change correspondingly.Then the order among the evaluation objects will easily alter, which leads to produce the reversal order.
The reasons of the TOPSIS method generating reverse are as follows:①The computation of uniformization matrix;②The computation of the optimal decision schema and the inferior decision schema。
The reasons of the Osculating Value method generating reverse are as follows:①The computation of standardization matrix;②The computation of the optimal point and the inferior point;③The computation of Ci=di/d-li/l
The reasons of the SAW method generating reverse are as follows:The selection of the maximum and minimum in standardized method of index.
The reasons of the Precedence Order method generating reverse are as follows:The given method of preferential ordinal number and the evaluation objects are closely linked.When the evaluation objects that don't contain maximum are added or deleted, the preferential ordinal numbers change inevitably,and the sorting results alter correspondingly.
The reasons of the RSR method generating reverse are as follows:Index rank establishment method and the evaluation objects are closely linked.When the evaluation objects that don't contain maximum are added or deleted, the rank and Rank Sum Ratio (RSR) change inevitably, and the sorting results alter correspondingly.
The reasons of the Information Entropy method generating reverse are as follows:①The computation of uniformization matrix;②The computation of information entropy.
8. The Absolute Ideal Point method, improved TOPSIS method,improved Osculating Value method and improved SAW method which presented by this paper can solve the reversal problem.
9.This paper puts forward a novel modified TOPSIS approach.
10. This paper proposes a new dynamic TOPSIS method basing on the index value and index increment.
11. The Chinese comprehensive evaluation software (version1.1) has been successfully developed. It consists of modules of AHP, TOPSIS, RSR, grey correlation analysis, efficacy coefficient method and fuzzy comprehensive evaluation. The size of CES1.1is about2.78MB. CES1.1can run on Microsoft Exce197or later and becomes a menu of Excel. The results of CES1.1are close to the results of SAS. The differences of the two softwares are lower than10-2, except that the differences between the results of RSR module of CES1.1and the results of SAS program of RSR are lower than10-7.
Conclusions:
1. The stochastic simulation model of the sampling errors of comprehensive evaluation methods developed by this paper is universal, flexible and convenient.This model is suitable for any sampling data and any comprehensive evaluation methods. It is an effective method to sort resulits according to "The Overall Average Scheduling Priority" noted by this paper.
2. Even if the variables are independent and obey the normal distribution, the comprehensive evaluation values of TOPSIS method and SAW method may follow the normal distribution in sampling study,while other objects may not comply with the normal distribution.Especially, all objects of RSR method disobey the normal distribution. When the comprehensive evaluation values are close to the upper limit or lower limit, the comprehensive evaluation values may appear skew distribution.
3. The new expression method and way of conclusions of comprehensive evaluation methods——"probability results " is more open and more practicable comparing with the conventional "Absolute conclusion".
4. The combination method based on"probability results " is more scientific, reasonable and credible.
5.The Ideal Point method, TOPSIS method, Osculating Value method, SAW method, Precedence Order method,RSR method and Information Entropy method all have reversal phenomena.
6.The Absolute Ideal Point method, improved TOPSIS method,improved Osculating Value method and improved SAW method which presented by this paper all have strong rank preservation.
7. For the methods which cannot eliminate the reverse problem such as Precedence Order method,RSR method etc, we should look round their valid range and conditions of actual data, and select a Evaluation objects set which has no change absolutely. There is no need for eliminating the reversed order problem of Information Entropy method whose reversed order problem is reasonable.We can adopt combination weighting approach combining with subjective weight which can reduce the reversal phenomena.
8. The novel modified TOPSIS approach raised by this paper have strong rank preservation and can sovle the defects of Ci in traditional TOPSIS method.
9. The new dynamic TOPSIS method raised by this paper not only inherits all the merits of the traditional static TOPSIS method,but also is an effective method.This method is suitable for three-dimensional data containing "evaluation objects"," evaluation index" and "evaluation time". It pay attention to "the past","the present" and " the future development trends".
10. The results of CES1.1are reliable, which fills the blank that different demestic and international statistical softwares cannot process comprehensive evaluation data, lightens the researcher's burden and promote the popularization of comprehensive evaluation methods.CES1.1is of better useful,friendly interface,easy operation in that it succeeded the style of a office software-Excel.It can meet the needs of person majored in statistics or not.
(1)拟解决目前综合评价领域中亟待解决的几个重要问题：①综合评价方法一般是对总体资料(特定空间和时间)进行评价,但某些特殊情形下,需要对样本资料评价,那么在综合排序时有必要考虑抽样误差对排序结果的影响,但目前综合评价方法对评价结果只能是描述,而不能进行统计推断,因此存在着抽样误差的估计问题。②多方法评价结论的非一致性困扰问题。③多指标综合评价若干方法中的逆序问题。④常用综合评价方法的软件系统缺乏问题。(2)从方法学上进一步改进和完善医疗卫生领域应用最为广泛的静态TOPSIS (Technique for Order Preference by Similarity to Ideal Solution)法并提出新的动态TOPSIS法。
方法：
通过广泛查阅文献,参考国内外相关研究成果,利用Monte Carlo模拟技术,针对样本资料,构建综合评价的抽样误差随机模拟模型。基于该模型的模拟结果,提出一种解决“多方法评价结论非一致性困扰问题”的新思路,即对综合评价的“概率结论”组合。通过研究理想点法、TOPSIS法、密切值法、SAW(Simple Additive Weighting)法、优序法、秩和比法以及信息熵客观定权法的逆序现象,找出各种方法产生逆序的原因,并提出解决方案。通过分析探讨传统的静态的TOPSIS存在的缺陷,提出静态TOPSIS法的改良方法。通过文献检索,发现目前医学科研中存在大量的含有时间因素的“立体时序数据集”,而目前对此种三维数据(含有“评价对象”、“评价指标”、“评价时间”)的评价,大多采用静态综合评价方法,不能反映事物动态变化。基于医学科研的综合评价需求,提出一种新的动态TOPSIS法。广泛参考国内外多种统计软件,听取广泛相关人员组成的议题小组的意见,基于Microsoft Excel2002软件,利用Microsoft Visual Basic6.0、Microsoft Visio2002和Visual Basic for Application语言开发了综合评价方法的简体中文版软件包(Comprehensive Evaluation Software,简称CES)。并用SAS6.12for Windows自行编制相应方法的SAS程序(TOPSIS法SAS程序己发表,见文献[143]；其余SAS程序己收入教材[144]),将SAS程序与CES在同一个计算机平台上对同一资料用各种综合评价方法进行分析,然后把两种分析结果一并列出,对每个数据均比较到小数点后15位,进行SAS与CES统计分析结果的比较。
结果：
1.本文建立了综合评价的抽样误差随机模拟模型并给出了相应的Mablab程序。
2.本文提出了“整体排序优先度”与“整体排序平均优先度”的概念,因此提出了一种综合评价结果的排序的新方法：按照“整体排序(平均)优先度”,从大到小排序。
3.对于样本资料,本文将综合评价的传统“绝对结论”改为“概率结论”,并依据“整体排序(平均)优先度”可对任何综合评价方法的结果分档。
4.本文模拟了TOPSIS法、SAW法、RSR法的抽样误差,发现：①即使指标独立、均服从正态分布,TOPSIS法与SAW法某些评价对象的综合评价值可能会服从正态分布,而另一些评价对象的综合评价值不服从正态分布。而RSR法的模拟RSRi值均不服从正态分布。②TOPSIS法、SAW法、RSR法的综合评价值均有上下限：0≤Ci≤1,0≤Ai≤m,0
6.理想点法、TOPSIS法、密切值法、SAW法、优序法、秩和比法以及信息熵客观定权法均存在逆序问题。
7.理想点法产生逆序的原因：理想点的计算与评价对象紧密相连,当增加或删除含有最优点或最劣点的评价对象时,理想解选择的范围扩大或缩小了,理想点改变了,每个评价对象到理想点的距离就会发生变化,各评价对象之间的优劣顺序也很容易发生变化,从而产生逆序。
TOPSIS法产生逆序的原因：①归一化矩阵的计算；②最优方案与最劣方案的计算。
密切值法产生逆序的原因：①标准化矩阵的计算；②最优点与最劣点的计算；③密切值Ci=di/d-li/l的计算。
SAW法产生逆序的原因：指标的标准化法中最大值与最小值的选取。
优序法产生逆序的原因：优序数的给定方法与评价对象紧密相连,当增加或删除不含最大值的评价对象时,优序数必然改变,则排序结果也会改变。
秩和比法产生逆序的原因：指标秩的编制方法与评价对象紧密相连,当增加或删除不含最大值的评价对象时,指标秩和秩和比必然改变,则排序结果也会改变。
信息熵定权法产生逆序的原因：①归一化矩阵的计算；②信息熵的计算。
8.本文提出了绝对理想点法、改进TOPSIS法、改进密切值法、改进SAW法可解决其逆序问题。
9.本文提出了一种新的改良静态TOPSIS法。
10.本文提出了一种基于指标值及指标增量的新的动态TOPSIS法。
11.编制了综合评价软件包CES简体中文1.1版。主要包括：层次分析法、TOPSIS法、密切值法、模糊综合评价、灰色关联分析、功效系数法、秩和比法等模块。CES1.1大小约2.78M.CES1.1可在Microsoft Excel97以上版本运行,运行后成为Excel的一个菜单。自编的SAS程序与CES1.1对同一资料用不同综合评价方法的分析结果均非常接近,除了秩和比法两者主要指标的结果差异小于10-7,其余方法两者差异均小于10-12。
结论：
1.本文建立的综合评价的抽样误差随机模拟模型,具有通用性,灵活方便。对任何抽样资料,任何综合评价方法,该模型都适用。依据本文提出的“整体排序优先度”与“整体排序平均优先度”的概念,按照“整体排序(平均)优先度”排序,是一种有效的综合评价结果排序的新方法。
2.在抽样研究中,即使指标独立、均服从正态分布,TOPSIS法、SAW法、RSR法各评价对象的综合评价值不一定会服从正态分布。当某评价对象的综合评价值靠近其上限或下限时,则此时综合评价值可能呈偏态分布。
3.本文提出的综合评价结论的新表达方法与方式——“概率结论”,相对于传统的“绝对结论”,它具有更好的开放性,也更贴近实际。
4.基于“概率结论”的组合法不仅包含了“绝对结论”的信息,还考虑了抽样误差的影响,其组合结果更合理、可信。
5.理想点法、TOPSIS法、密切值法、SAW法、优序法、秩和比法以及信息熵客观定权法均存在逆序问题。
6.本文提出的绝对理想点法、改进TOPSIS法、改进密切值法、改进SAW法均具有强保序性。
7.对于逆序问题不能消除的方法,如优序法、秩和比法等,应用时应慎重考虑其评价有效范围及具体资料情况,最好适用于一个绝对无任何变动的评价对象集,当决策者合理地变更评价对象时,它们就不再适用了。对于逆序现象合理存在的信息熵定权法没有必要去消除逆序问题。可与主观赋权法结合采用组合赋权,减少逆序的发生。
8.本文提出的新的改良静态TOPSIS法,它具有强保序性,并且很好的解决了传统TOPSIS法Ci值的缺陷。
9.本文提出的新的动态TOPSIS法,继承了传统静态TOPSIS法的所有优点,是一种有效的综合评价方法,适用于包含了“评价对象”、“评价指标”及“评价时间”的三维资料。它可既考虑“过去情况”、“现在状况”,也关注“将来发展趋势”。
10.本文研制的CES1.1,其分析结果是可靠的,它使广大实际工作者从繁杂的计算中解放出来,极大促进了综合评价方法的推广与应用。它继承了目前人们普遍使用和熟知的办公软件Excel的风格,应用界面友好,操作简单易用,对统计专业人士与非统计专业人士均适用。
Objective:
(1)To Solve the four problems of the comprehensive evaluation field in the world at present:①Because of lack of the accuracy measure of the sensitivity and stability of all kinds of comprehensive evaluation methods, the sampling errors cannot be estimated in the sampling research usually.②Inconsistency among the evaluation conclusions drawn by different evaluation methods exists in the multi-attribute evaluation.③The Problem of Inverted Sequence in Synthetic Appraisal.④The problem of lack of comprehensive evalution softwarepackage.(2) To further improve and perfect the static TOPSIS approach which is applied widely in the medicine and hygiene fields. What's more, a novel dynamic TOPSIS method is presented.
Methods:
By reviewing the domestic and foreign research and considering the suggestions of experts, we make use of the Monte Carlo simulation technology to develop a stochastic simulation model of the sampling errors of comprehensive evaluation methods.Based on the results of this model,a novel thinking which can work out the problem of inconsistency among the evaluation conclusions drawn by different evaluation methods is proposed. That is combination of probability results.We find out the reasons of reverse order phenomenon of a variety of methods and put forward the solving solution by studying Ideal Point method,TOPSIS method, Osculating Value method, SAW method, Precedence Order method,RSR method and information entropy method.By means of analyzing and dicussing the defaults of the traditional static TOPSIS method, a novel modified TOPSIS approach is raised. Literature retrieval reveals that there are plentiful Multi-Dimensional Time Series Data which contains the time factor.But most researches adot the static synthetical evaluation methods which cannot reflect the dynamic changes of things. Based on the needs of comprehensive evaluation in medical scientific research, we come up with a fresh dynamic TOPSIS method, we studied the structure of many domestic and international excellent statistical softwares,and consulted ideas and suggestions from nominal group. Then we use Microsoft Visual Basic6.0、Microsoft Visio2002and VBA (Visual Basic for Application) to develop a comprehensive evaluation software (CES) based on Microsoft Excel2002. Moreover,we use CES1.0and SAS6.12to analyze the same data file on the same PC, One of the SAS programs has been published[143],the others have been adopted by book[144]. Main indexes with15-bit decimal fraction of different comprehensive evaluation methods was given by CES1.1and SAS6.12,which enabled us to compare the accuracy of CES1.1and SAS6.12.
Results:
1.This paper develops a stochastic simulation model of the sampling errors of comprehensive evaluation methods and gives the matlab programs of the model.
2. This paper advances the conceptions of "The Overall Scheduling Priority"and "The Overall Average Scheduling Priority", and proposes a new sorting method of the results of comprehensive evaluation methods that is sorting the results in a ascending order according to " The Overall (Average)Scheduling Priority".
3.This paper changes the conventional "Absolute conclusion" of comprehensive evaluation methods to "probability results " for the sample data.We can staple any results of comprehensive evaluation methods in accordance with "The Overall (Average)Scheduling Priority".
4. This paper simulating the sampling errors of TOPSIS method, SAW method and RSR method finds that:①Even if the variables are independent and obey the normal distribution, the comprehensive evaluation values of some objects of TOPSIS method and SAW method may follow the normal distribution,while other objects may not comply with the normal distribution.Especially, all objects of RSR method disobey the normal distribution.②The comprehensive evaluation values of TOPSIS method, SAW method, RSR method have upper and lower limits:0≤Ci≤1,0≤Ai≤m,0
6. The Ideal Point method, TOPSIS method, Osculating Value method, SAW method, Precedence Order method,RSR method and Information Entropy method all have reversal phenomena.
7. The reasons of the Ideal Point method generating reverse are as follows:The ideal point calculation and the evaluation objects are closely linked.When the evaluation objects containing the optimum point or the pessimum point are added or deleted, the selection range of ideal solution is enlarged or reduced.Once the ideal points change,the distance between the evaluation objects and the ideal points change correspondingly.Then the order among the evaluation objects will easily alter, which leads to produce the reversal order.
The reasons of the TOPSIS method generating reverse are as follows:①The computation of uniformization matrix;②The computation of the optimal decision schema and the inferior decision schema。
The reasons of the Osculating Value method generating reverse are as follows:①The computation of standardization matrix;②The computation of the optimal point and the inferior point;③The computation of Ci=di/d-li/l
The reasons of the SAW method generating reverse are as follows:The selection of the maximum and minimum in standardized method of index.
The reasons of the Precedence Order method generating reverse are as follows:The given method of preferential ordinal number and the evaluation objects are closely linked.When the evaluation objects that don't contain maximum are added or deleted, the preferential ordinal numbers change inevitably,and the sorting results alter correspondingly.
The reasons of the RSR method generating reverse are as follows:Index rank establishment method and the evaluation objects are closely linked.When the evaluation objects that don't contain maximum are added or deleted, the rank and Rank Sum Ratio (RSR) change inevitably, and the sorting results alter correspondingly.
The reasons of the Information Entropy method generating reverse are as follows:①The computation of uniformization matrix;②The computation of information entropy.
8. The Absolute Ideal Point method, improved TOPSIS method,improved Osculating Value method and improved SAW method which presented by this paper can solve the reversal problem.
9.This paper puts forward a novel modified TOPSIS approach.
10. This paper proposes a new dynamic TOPSIS method basing on the index value and index increment.
11. The Chinese comprehensive evaluation software (version1.1) has been successfully developed. It consists of modules of AHP, TOPSIS, RSR, grey correlation analysis, efficacy coefficient method and fuzzy comprehensive evaluation. The size of CES1.1is about2.78MB. CES1.1can run on Microsoft Exce197or later and becomes a menu of Excel. The results of CES1.1are close to the results of SAS. The differences of the two softwares are lower than10-2, except that the differences between the results of RSR module of CES1.1and the results of SAS program of RSR are lower than10-7.
Conclusions:
1. The stochastic simulation model of the sampling errors of comprehensive evaluation methods developed by this paper is universal, flexible and convenient.This model is suitable for any sampling data and any comprehensive evaluation methods. It is an effective method to sort resulits according to "The Overall Average Scheduling Priority" noted by this paper.
2. Even if the variables are independent and obey the normal distribution, the comprehensive evaluation values of TOPSIS method and SAW method may follow the normal distribution in sampling study,while other objects may not comply with the normal distribution.Especially, all objects of RSR method disobey the normal distribution. When the comprehensive evaluation values are close to the upper limit or lower limit, the comprehensive evaluation values may appear skew distribution.
3. The new expression method and way of conclusions of comprehensive evaluation methods——"probability results " is more open and more practicable comparing with the conventional "Absolute conclusion".
4. The combination method based on"probability results " is more scientific, reasonable and credible.
5.The Ideal Point method, TOPSIS method, Osculating Value method, SAW method, Precedence Order method,RSR method and Information Entropy method all have reversal phenomena.
6.The Absolute Ideal Point method, improved TOPSIS method,improved Osculating Value method and improved SAW method which presented by this paper all have strong rank preservation.
7. For the methods which cannot eliminate the reverse problem such as Precedence Order method,RSR method etc, we should look round their valid range and conditions of actual data, and select a Evaluation objects set which has no change absolutely. There is no need for eliminating the reversed order problem of Information Entropy method whose reversed order problem is reasonable.We can adopt combination weighting approach combining with subjective weight which can reduce the reversal phenomena.
8. The novel modified TOPSIS approach raised by this paper have strong rank preservation and can sovle the defects of Ci in traditional TOPSIS method.
9. The new dynamic TOPSIS method raised by this paper not only inherits all the merits of the traditional static TOPSIS method,but also is an effective method.This method is suitable for three-dimensional data containing "evaluation objects"," evaluation index" and "evaluation time". It pay attention to "the past","the present" and " the future development trends".
10. The results of CES1.1are reliable, which fills the blank that different demestic and international statistical softwares cannot process comprehensive evaluation data, lightens the researcher's burden and promote the popularization of comprehensive evaluation methods.CES1.1is of better useful,friendly interface,easy operation in that it succeeded the style of a office software-Excel.It can meet the needs of person majored in statistics or not.
引文
[1]仲敏.浅议评价科学及其发展的理论与实践[J].青岛科技大学学报(社会科学版),2008,24(4)：60-68
[2]孙振球,王乐三.医学综合评价方法及其应用[M].北京：化学工业出版社,2006
[3]Shilpa H. Amin, Carol L. Kuhle, Lorraine A. Fitzpatrick.Comprehensive Evaluation of the Older Woman[J].Mayo Clinic Proceedings,2003,78(9): 1157-1185
[4]Theodoros D. Karamitsos, Erica Dall'Armellina, Robin P. Choudhury, Stefan Neubauer. Ischemic heart disease:Comprehensive evaluation by cardiovascular magnetic resonance[J].American Heart Journal,2011,162(1):16-30
[5]James Elicker, Sangeeta Mathur. What do they do all day? Comprehensive evaluation of a full-day kindergarten[J].Early Childhood Research Quarterly, 1997,12(4):459-480
[6]郭亚军主编.综合评价的理论和方法[M].北京：科学技术出版社,2002
[7]弗洛伦斯.N.特雷费森.管理的运筹学[M].约翰.霍普金斯大学出版社,1954：6-8
[8]Pawlak Z. Rough Sets[J]. International Joumal of Information and Computer Science,1982,(11):341-356
[9]Slowinski R.Rough set approach to decision ananlysis[J].AI Expert,March 1995,19-25
[10]王一任,孙振球.医用综合评价方法研究进展[J].中南大学学报(医学版).2005,30(2)：228-232
[11]李贤相,洪倩.卫生综合评价方法研究进展[J].实用预防医学,2003,(06)：1035-1038
[12]李延平,吴玉珍,陈晓东.卫生城市综合评价方法研究与应用[J]中国公共卫生管理,2002,(04)：276-284
[13]陈国宏.组合评价系统综合研究[J].复旦学报(自然科学版).42(5)：667-672
[14]王莲芬等.AHP逆序问题综述[J].系统工程理论与实践,1996,16(6)
[15]杜强.SAS统计分析标准教程[M].人民邮电出版社,2010
[16]German Martinez Montes, Enrique Prados Martin, Javier Alegre Bayo, Javier Ordonez Garcia.The applicability of computer simulation using Monte Carlo techniques in windfarm profitability analysis[J].Renewable and Sustainable Energy Reviews,2011,15(9):4746-4755
[17]Yongzeng Lai.Adaptive Monte Carlo methods for matrix equations with applications[J] Journal of Computational and Applied Mathematics,2009, 231(2):705-714
[18]Qiqi Wang, David Gleich, Amin Saberi, Nasrollah Etemadi, Parviz Moin.A Monte Carlo method for solving unsteady adjoint equations[J]Journal of Computational Physics,2008,227(12):6184-6205
[19]Michael Gnewuch.On probabilistic results for the discrepancy of a hybrid-Monte Carlo sequence Journal of Complexity[J],2009,24(4):312-317
[20]I.T. Dimov, V.N. Alexandrov.A new highly convergent Monte Carlo method for matrix computations[J].Mathematics and Computers in Simulation,1998, 47(2-5):165-181
[21]Sebastien Boyaval.A fast Monte-Carlo method with a reduced basis of control variates applied to uncertainty propagation and Bayesian estimation[J].Computer Methods in Applied Mechanics and Engineering, Volumes,1 October 2012,241-244:190-205
[22]Jens J. Kruger.A Monte Carlo study of old and new frontier methods for efficiency measurement[J].European Journal of Operational Research,2012,222(1):137-148
[23]尹增谦,管景峰,张晓宏.蒙特卡罗方法及应用[J].物理与工程,2002,12(3)：45-49.
[24]Giorgos Arampatzis, Markos A. Katsoulakis, Petr Plechac, Michela Taufer, Lifan Xu.Hierarchical fractional-step approximations and parallel kinetic Monte Carlo algorithms[J] Journal of Computational Physics,2012,231(23): 7795-7814
[25]Keh-Hsun Chen.Dynamic randomization and domain knowledge in Monte-Carlo Tree Search for Go knowledge-based systems[J]. Knowledge-Based Systems,2012,34(10):21-25
[26]David McMahon.MATLAB Demystified[M]. Publisher:McGraw-Hill Professional,2007
[27]Stephen J.chapman.MATLAB Programming for Engineers-4th Edition[M]. Publisher:Thomson Learning.2007
[28]Edward B. Magrab, Shapour Azarm, Balakumar Balachandran.An Engineers Guide to MATLAB:With Applications from Mechanical, Aerospace, Electrical, Civil, and Biological Systems Engineering[M]. Publisher:Prentice Hall,2010
[29]Desmond J. Higham, Nicholas J. Higham.MATLAB Guide[M]. Publisher: Society for Industrial and Applied Mathematic,2008
[30]Harper, J. L. Meriam, L. Glenn Kraige.Solving Statics Problems with MATLAB[M]. Publisher:John Wiley & Sons,2001
[31]孙振球.医学统计学(第3版)[M].北京：人民卫生出版社,2010,8.
[32]李骏；李明敏；李孝儒.平均秩和比及其标准差的意义和应用[J].中国卫生事业管理,1994(04)：222-223
[33]Gulcin Buyukozkan, Gizem Cifci.A combined fuzzy AHP and fuzzy TOPSIS based strategic analysis of electronic service quality in healthcare industry[J].Expert Systems with Applications,2012,39(3):2341-2354
[34]Guillaume Haeringer.A new weight scheme for the Shapley value[J]. Mathematical Social Sciences,2006,52:88-98
[35]费成良,组合评价方法及其应用研究[D].中南大学,2008
[36]郁利花,组合评价的集成方法研究[D].浙江工商大学,2011
[37]Chen Guohong, Chen Yantai. The Research Progress&Development Trend of Comprehensive Evaluation Methods[C]-Proceedings of 2002'International Conference on Management Science & Engineering-Harbin:Harbin Institute of Technology(HIT)Press,2002,462-470
[38]陈国宏等.基于方法集的综合评价方法集化研究[J].中国管理科学,2004,12(1)：101-105
[39]俞立平,潘云涛,武夷山.科技评价结果标准化方法及对组合评价的影响[J].情报杂志,2012,31(1)：41-46
[40]李红,朱建平.综合评价方法研究进展评述[J].统计与决策,2012,9：7-11
[41]曾守桢,陈佳琴,王赢政.基于组合评价的浙江省城市可持续发展能力实证分析[J].统计科学与实践,2012,2：28-30
[42]苏为华等.综合评价技术的扩展与集成问题研究[M].北京：中国统计出版社,2007.
[43]刘自远,刘成福.综合评价中指标权重系数确定方法探讨[J].中国卫生质量管理,2006,13(2)：44-48
[44]Don-Lin Mon, Ching-Hsue Cheng, Jiann-Chern Lin. Evaluating weapon system using fuzzy analytic hierarchy process based on entropy weight [J].Fuzzy Sets and Systems,1994,62(2):127-134
[45]Xiangxin Li, Kongsen Wang, Liwen Liu, Jing Xin, Hongrui Yang, Chengyao Gao.Application of the Entropy Weight and TOPSIS Method in Safety Evaluation of Coal Mines [J].Procedia Engineering,2011,26:2085-2091
[46]李洪兴.因素空间理论与知识表示的数学框架[J].模糊系统与数学,1995(3)：1-7.
[47]刘文奇.一般变权原理与多目标决策[J].系统工程理论与实践,2000(3)：1-11
[48]李德清,李洪兴.状态变权向量的性质与构造[J].北京师范大学学报：自然科学版,2002(4)：455-461
[49]刘文奇.变权综合中的惩罚-激励效应[J].系统工程理论与实践,1998(18)：41-47
[50]王晓玲.素质教育评价中的变权综合方法[J].系统工程理论与实践,2000(4)：136-140
[51]徐萍.CRITIC法在医疗工作质量评价中的应用[J].价值工程.2011,30(1)：200-201
[52]徐萍,高健.熵权法和CRITIC法在医疗工作质量评价中的应用[J].中国医院统计,2011,18(3)：256-258
[53]ID. Diakoulaki, G. Mavrotu, L. papayannakis. Determining objective weights in multiple criteria problems:The CRITIC method[J].Computer Ops Res. 1995,22:763-770
[54]王先甲,张熠.基于AHP和DEA的非均—化灰色关联方法[J].系统工程理论与实践,2011,31(7)：1222-1229
[55]孙志华,谢田法.平均值组合评价方法的优良性研究[J].数学的实践与认识,2008,38(20)：31-39
[56]詹小海,田俊.组合评价法在福建省新农合综合评价中的应用[J].中华疾病控制杂志,2009,13(1)：62-64
[57]黄德才,郑河荣.理想点决策方法的逆序问题与逆序的消除[J].系统工程与电子技术,2001,23(12)：80-82.
[58]陈伟.关于TOPSIS法应用中的逆序问题及消除的方法[J].运筹与管理,2005,13(3)：39-43
[59]Belton V, T Gear.On a short-Coming of saaty's Method of Analytic Hierarchies[J]. OMEGA,1983,11(3):228-230.
[60]于露,李凡修,黄瑜.理想点决策法在湖泊水体富营养化评价中的应用[J].长江大学学报：自然科学版,2011,8(5)：16-18
[61]方荃平.理想点逼近法用于油气管道穿越河流方案的选择[J].油气田地面工 程,2012,31(6)：30-31
[62]Brecht M.R. Donckels, Dirk J.W. De Pauw, Peter A. Vanrolleghem, Bernard De Baets.An ideal point method for the design of compromise experiments to simultaneously estimate the parameters of rival mathematical models[J]. Chemical Engineering Science,2010,65(5):1705-1719
[63]王申东,张武标,施路宁,王小洁.多目标决策—理想点法在医院制剂质量评价中的应用[J].儿科药学杂志,2006,12(6)：1-2
[64]Majid Behzadian, S. Khanmohammadi Otaghsara, Morteza Yazdani, Joshua Ignatius.A state-of the-art survey of TOPSIS applications[J].Expert Systems with Applications,2012,39(17):13051-13069
[65]Xing Zhongyou.Study on the Application of TOPSIS Method to the Introduction of Foreign Players in CBA Games[J].Physics Procedia,2012,33: 2034-2039
[66]Kaveh Pazand, Ardeshir Hezarkhani, Mohammad Ataei.Using TOPSIS approaches for predictive porphyry Cu potential mapping:A case study in Ahar-Arasbaran area (NW, Iran) [J].Computers & Geosciences,2012,22(6):In Press, Accepted Manuscript
[67]Opricovic, Serafim. Compromise solution by MCDM methods:A comparative analysis of VIKOR and TOPSIS[J].European Journal of Operational Research. 2004.156(2):445-455
[68]Alecos Kelemenis, Dimitrios Askounis. A new TOPSIS-based multi-criteria approach to personnel selection[J].Expert Systems with Applications,2010, 37(7):4999-5008
[69]Chu, T. C. Selecting plant location via a fuzzy TOPSIS approach[J]. International Journal of Advanced Manufacturing Technology,2002,859-864
[70]朱晓华,谷卫,毛建山,蔡栋,许毅从.加权topsis法在综合评价糖尿病诊疗质量关键因素中的应用[J].中华内分泌代谢杂志.2011,27(4)：322-323
[71]余超,吴磊,辛青,黄河浪,黄鹏,刘伟新.基于TOPSIS法的江西省农村中医适宜技术推广绩效评估[J].中国全科医学,2012,4：469-471
[72]永昌.应用密切值法综合评价疟原虫血片质量[J].中国血吸虫病防治杂志.2012,24(1)：111-112
[73]L.Hwang,K.Yoon,MultipleAttributeDecisionMaking:Methods and Applications [M], Springer-Verlag,Berlin,1981
[74]Ruta Simanaviciene, Leonas Ustinovichius.Sensitivity Analysis for Multiple Criteria Decision Making Methods:TOPSIS and SAW [J].Procedia-Social and Behavioral Sciences,2010,6(2):7743-7744
[75]Ting-Yu Chen. Comparative analysis of SAW and TOPSIS based on interval-valued fuzzy sets:Discussions on score functions and weight constraints [J].Expert Systems with Applications,2012,39(2):1848-1861
[76]Shuo-Yan Chou, Yao-Hui Chang, Chun-Ying Shen.A fuzzy simple additive weighting system under group decision-making for facility location selection with objective/subjective attributes[J].European Journal of Operational Research,2008,16(1):132-145
[77]寿玉亭,刘长河,段新生.模糊环境下多目标决策的均值优序法[J].北京工业大学学报,2002,28(2)：229-232
[78]遇今,石柱.优序法在管理成果评价中的应用[J].系统工程与电子技术,2000,122(2)：76-78
[79]任传栋,王志真,高佳,刘成良.加权优序法在地下水质评价中的应用[J].水科学与工程技术.2008,5：52-55
[80]田凤调.秩和比法的应用[M].北京：人民卫生出版社.2002
[81]庄培芬,桑列勇,傅立强.运用秩和比法综合评价某血站2000-2009年采供血业务质量[J].中国卫生统计,2011,58(5)：593-595
[82]李丹丹,曾强林,杨钰欣,江吉富.应用TOPSIS-RSR评价幽门螺杆菌6种检测方法诊断效能[J].重庆医学,2012,41(10)：942-947
[83]丁国武,韩雪梅,王槐,赵文静.应用加权秩和比法评价定西市7个县区卫生资源配置[J].中国卫生统计,2011,28(4)：433-434
[84]N. Marchettini, R.M. Pulselli, F. Rossi, E. Tiezzi.Entropy[J].Encyclopedia of Ecology,2008:1297-1305
[85]Bhaskar Bhattacharya. Maximum entropy characterizations of the multivariate Liouville distributions[J] Journal of Multivariate Analysis,2006,97(6): 1272-1283
[86]林嵩艺,祝慧萍,方龙,宇传华.信息熵方法在诊断试验评价meta分析中的应用[J].中国卫生统计.2010,27(6)：582-585
[87]徐蕾,徐芳,崔建英,贺佳.基于信息熵的决策树在结核病人住院费用分析中的应用[J].中国医院统计,2009,16(3)：223-225
[88]Don-Lin Mon, Ching-Hsue Cheng, Jiann-Chern Lin. Evaluating weapon system using fuzzy analytic hierarchy process based on entropy weight [J].Fuzzy Sets and Systems,1994,62(2):127-134
[89]Xiangxin Li, Kongsen Wang, Liwen Liu, Jing Xin, Hongrui Yang, Chengyao Gao.Application of the Entropy Weight and TOPSIS Method in Safety Evaluation of Coal Mines [J].Procedia Engineering,2011,26:2085-2091
[90]Xiaoqian Zhu, Fei Wang, Changzhi Liang, Jianping Li, Xiaolei Sun.Quality Credit Evaluation based on TOPSIS:Evidence from Air-conditioning Market in China[J].Procedia Computer Science,2012,9:1256-1262
[91]Ren-Jieh Kuo, Yung-Hung Wu, Tsung-Shin Hsu.Integration of fuzzy set theory and TOPSIS into HFMEA to improve outpatient service for elderly patients in Taiwan[J] Journal of the Chinese Medical Association,2012,75(7):341-348
[92]Madjid Tavana, Adel Hatami-Marbini.A group AHP-TOPSIS framework for human spaceflight mission planning at NASA[J].Expert Systems with Applications,2011,38(11):13588-13603
[93]Jianyu Chu, Youpo Su.The Application of TOPSIS Method in Selecting Fixed Seismic Shelter for Evacuation in Cities [J].Systems Engineering Procedia, 2012,3:391-397
[94]Alecos Kelemenis, Dimitrios Askounis. A new TOPSIS-based multi-criteria approach to personnel selection [J]Expert Systems with Applications,2010, 37(7):4999-5008
[95]Ye Chen, Kevin W. Li, Si-feng Liu.An OWA-TOPSIS method for multiple criteria decision analysis [J].Expert Systems with Applications,2011, 38(5):5205-5211
[96]Elio Cables, M. Socorro Garcia-Cascales, M. Teresa Lamata.The LTOPSIS:An alternative to TOPSIS decision-making approach for linguistic variables[J].Expert Systems with Applications,2012,39(2):2119-2126
[97]Lifeng Ren, Yanqiong Zhang, Yiren Wang, Zhenqiu Sun. Comparative Analysis of a Novel M-TOPSIS Method and TOPSIS[J]. Applied Mathematics Research Express.2007:1-10
[98]任力锋,王一任,张彦琼,孙振球.TOPSIS法的改进与比较研究[J].中国卫生统计,2008,25(2)：64-66
[99]韦懿芸,颜艳,胡字峰等.TOPSIS法和秩和比法相结合综合评价城市老年人生存质量[J].中国老年学杂志,2006,26：440-441.
[100]安丰山,黄金球,陈少湖,谢映涛.食管癌病人不同治疗方式生活质量纵向研究[J]中华胸心血管外科杂志.2004,20(3)：151-154
[101]傅建国,史静琤,孙振球.生活质量评价在良性前列腺增生症手术治疗效果 评价中的应用[J].中国老年医学杂志,2007,27(12)：2398-2400
[102]胡宇峰,孙振球.生活质量指标在绝经后骨质疏松症医疗效果评价中的作用[J].中南大学学报(医学版),2005,30(3)：299-303
[103]杨土保.2型糖尿病不同治疗方案的医疗效果综合评价研究[D].长沙：中南大学,2007
[104]莫苗芳.良性前列腺增生症患者常见手术方式医疗效果综合评价[M].长沙：中南大学,2008
[105]Ya-jun GUO, Yuan YAO, Ping-tao YI. Method and Application of Dynamic Comprehensive Evaluation[J].Systems Engineering-Theory & Practice,2007, 27(10):154-158
[106]Wei Zuoan, Li Shihai, J.G. Wang, Wan Ling.A dynamic comprehensive method for landslide control [J].Engineering Geology,2006,84(1):1-11
[107]郭亚军,姚远,易平涛.一种动态综合评价方法及应用[J].系统工程理论与实践.2007,27(10)：154-158
[108]Liu X W. Some properties of the weighted OWA operator[J].IEEE Transactions on Systems, Man, and Cybernetics,2006,36(1):118-127.
[109]Fuller R, Majlender P. On obtaining minimal variability OWA operator weights[J]. Fuzzy Sets and Systems,2003,136(2):203-215.
[110]Shaffer G. Slotting allowances and optimal product variety [J].Advances in Economic Analysis&Policy,2005,5(1):1084-1110.
[111]John Walkenbach,Brian Underdahl. Excel 2002 Bible[M]. Hungry Minds, Inc.2001
[112]Olivier Raguin,a,b Anne Gruaz-Guyon.Equilibrium expert:an add-in to Microsoft Excel for multiple binding equilibrium simulations and parameter estimations[J]. Analytical Biochemistry.310 (2002):1-14
[113]Frieder Langenbucher.Handling of computational in vitro/in vivo correlation problems by Microsoft Excel:I.principles and some general algorithms[J].European Journal of Pharmaceutics and Biopharmaceutics.2002 (53):1-7
[114]Victor C. Kressa, Mark S. Ghiorso.Microsoft EXCEL spreadsheet-based program for calculating equilibrium gas speciation in the C-O-H-S-Cl-F system[J]. Computers & Geosciences.2004(30):211-214
[115]George L.W. Perry.SpPack:spatial point pattern analysis in Excel using Visual Basic for Applications (VBA)[J]. Environmental Modelling & Software. 2004(19):559-569
[116]王成春,萧雅云.实战Excel2002 VBA程序设计实务[M].北京：中国铁道出版社.2003
[117]Marinoni Oswald.Implementation of the analytical hierarchy process with VBA in ArcGIS[J]. Computers and Geosciences,2004,30(6):637-646
[118]Pechter David S. Controlling a Twister II with VBA and the Zymark ZyRobot ICP[J] Journal of the Association for Laboratory Automation,2002,7(6):92-95
[119]Meineke Ingolf. An add-in implementation of the resampling syntax under Microsoft excel[J]. Computer Methods and Programs in Biomedicine,2000, 63(2):99-104
[120]Raguin Olivier, Gruaz-Guyon, Anne. Equilibrium expert:an add-in to Microsoft Excel for multiple binding equilibrium simulations and parameter estimations[J]. Analytical Biochemistry,2002,310(1):1-14
[121]Sato Hitoshi, Sato Satomi. Add-in macros for rapid and versatile calculation of non-compartmental pharmacokinetic parameters on Microsoft Excel spreadsheets[J]. Computer Methods and Programs in Biomedicine,1996, 50(1):43-52
[122]Berardi A.ASTROMOD:a computer program integrating vegetation dynamics modelling, environmental modelling and spatial data visualisation in Microsoft Excel[J]. Environmental Modelling and Software,2002,17(4):403-412
[123]Taruna Goel, Rachna Chaudhary. VBA Professional Projects[M]. USA:Premier Press Inc.2002
[124]J.P. Le Roux, M. Brodalka.An ExcelTM-VBA programme for the analysis of current velocity profiles[J].Computers & Geosciences, Volume 30, Issue 8, October 2004, Pages 867-879
[125]Jibin Zhou, Xianhua Li.GeoPlot:An Excel VBA program for geochemical data plotting[J].Computers & Geosciences,2006,32(4):554-560
[126]陈晓蓉.Visio2002入门与提高[M].北京：北京理工大学出版社.2002
[127]Eric Brierley, Anthony Prince. The Waite Group's Visual Basic 6 How-To[M].Sams PubUshiBg.1998
[128]Paul Lomax.VB&VBA in a Nutshell:The Language[M].UK:O'Reilly.2002
[129]C.R. Chen, H.S. Ramaswamy. Visual Basics computer simulation package for thermal process calculations [J].Chemical Engineering and Processing:Process Intensification,2007,46(7):603-613
[130]王启栋,殷敏生.模糊综合评价疾病治疗质量[J].中国卫生统计.2000.17(5)：300-301
[131]张惠芳,王兆文,朱斌.应用功效系数法综合评价医院医疗工作质量[J].中国医院统计,2012,19(1)：49-50
[132]张萌,孙爱峰.功效系数法在餐厅环境质量综合评价中的应用[J].中国医药指南,2011,13(9)：336-337
[133]成长英,孙爱峰.功效系数法在公共场所卫生监督工作质量综合评价中的应用[J].中国现代医药杂志,2007,9(8)：119
[134]Liberatore, Matthew J. Wash criteria and the analytic hierarchy process[J]. Computers and Operations Research.2004:889-892
[135]Ludovic-Alexandre Vidal, Franck Marle, Jean-Claude Bocquet. Using a Delphi process and the Analytic Hierarchy Process (AHP) to evaluate the complexity of projects [J].Expert Systems with Applications, May 2011,38(5):5388-5405
[136]Herath, Gamini.Incorporating community objectives in improved wetland management:the use of the analytic hierarchy process[J]. Journal of Environmental Management.2004:263-273
[137]Ludovic-Alexandre Vidal, Evren Sahin, Nicolas Martelli, Malik Berhoune, Brigitte Bonan.Applying AHP to select drugs to be produced by anticipation in a chemotherapy compounding unit[J].Expert Systems with Applications, 2010,37(2):1528-1534
[138]Gulcin Buyiikozkan, Gizem Cifci, Sezin Guleryuz. Strategic analysis of healthcare service quality using fuzzy AHP methodology[J].Expert Systems with Applications,2011,38(8):9407-9424
[139]王琳,季建林,石淑华.利用层次分析法对小学生行为问题影响因素的量化分析[J].华中科技大学学报(医学版).2011,40(3)：365-369
[140]李翔,周树仁,彭幼林,王建莉.层次分析法在医学工程领域中的应用研究[J].医疗卫生装备,2011,3：
[141]陈磊,梁伟雄,吕志平.生脉胶囊治疗慢性充血性心力衰竭临床疗效的AHP综合评价[J].南方医科大学学报,2010,30(9)：2036-2040
[142]刘文川.脑出血发病与气象因素关系的灰色关联分析[J].数理医药学杂志.2002,15(5)：431-432
[143]王一任,孙振球.应用SAS软件进行Topsis法分析[J].中国卫生统计.2003.20(2)：119-121
[144]方积乾.卫生统计学[M].北京：人民卫生出版社.2003
[145]孙振球.医学统计学[M].北京：人民卫生出版社,2002
[146]马治灵.采用密切值法评价医疗工作质量[J].中国卫生统计,2003,20(3)：179-180
[147]刘保华,吴小凡.功效系数法在医疗质量综合评价中的应用[J].中华今日医学杂志.2003,3(9)：93-94
[148]倪宗瓒.卫生统计学[M].北京：人民卫生出版社,2000,242-245.
[149]V.N. Alexandrov, Christian Gonzalez Martel, J. StraBburg. Monte Carlo scalable algorithms for Computational Finance[J].Procedia Computer Science, 2011,4:1708-1715
[150]G.R. Jahanshahloo, F. Hosseinzadeh Lotfi, H. Zhiani Rezai, F. Rezai Balf. Using Monte Carlo method for ranking efficient DMUs [J]Applied Mathematics and Computation,2005,162(1):371-379
[151]Saaty T L. Rank and the Controversy about the Axioms of Utility theory, A Comparison of AHP and MAUT[J]. Proceedings of the ISAHP-22.Sept.12-14, 1991,87-111.
[152]Saaty T L,L.G Vargas. The legitimacy of Rank Reversal[J]. OMEGA, 1984,12(5):513-516.
[153]Saaty T L. An Exposition of the AHP in Reply to the Paper.Remarks on the Analytic Hierarchy proeess[J].ManagementSeience.1990,36(3):259-268.
[154]Satty T L. Rank from comparisons and from ratings in the analytic hierarchy/network processes [J]. European Journal of Operational Research,2006,168(2):557-570
[155]Barker T J,Zabinsky Z B. A multicriteria decision making model for reverse logistics using analytical hierarchy process [J]. Omega.2011,39(5):558-573.
[156]张运峰,张春阳.两种多目标决策方案的逆序实例及分析.1998,16(6)：64-67
[157]Wang,T.C,Lee,H.S.D. Developing a fuzzy TOPSIS approach based on subjective weights and objectiveweights[J].Expert Systems with Applications, 2009,36 (5):8980-8985
[158]刘刚.Excel在统计分析中的应用[M].北京：人民卫生出版社.2002：291-304
[1]孙振球.医学统计学[M].北京：人民卫生出版社,2010.
[2]王一任,孙振球.医用综合评价方法研究进展[J].中南大学学报(医学版).2005,30(2)：228-232.
[3]Shilpa H. Amin, Carol L. Kuhle, Lorraine A. Fitzpatrick.Comprehensive Evaluation of the Older Woman[J].Mayo Clinic Proceedings,2003,78(9):1157-1185
[4]Theodoros D. Karamitsos, Erica Dall 'Armellina, Robin P. Choudhury, Stefan Neubauer. Ischemic heart disease:Comprehensive evaluation by cardiovascular magnetic resonance[J].American Heart Journal,2011,162(1):16-30
[5]James Elicker, Sangeeta Mathur. What do they do all day?Comprehensive evaluation of a full-day kindergarten[J].Early Childhood Research Quarterly, 1997,12(4):459-480
[6]Majid Behzadian, S. Khanmohammadi Otaghsara, Morteza Yazdani, Joshua Ignatius.A state-of the-art survey of TOPSIS applications[J].Expert Systems with Applications,2012,39(17):13051-13069
[7]Xing Zhongyou.Study on the Application of TOPSIS Method to the Introduction of Foreign Players in CBA Games [J].Physics Procedia,2012,33:2034-2039
[8]Kaveh Pazand, Ardeshir Hezarkhani, Mohammad Ataei.Using TOPSIS approaches for predictive porphyry Cu potential mapping:A case study in Ahar-Arasbaran area (NW, Iran) [J].Computers & Geosciences,2012,22(6):In Press, Accepted Manuscript
[9]Opricovic, Serafim. Compromise solution by MCDM methods:A comparative analysis of VIKOR and TOPS IS [J].European Journal of Operational Research. 2004.156(2):445-455
[10]Alecos Kelemenis, Dimitrios Askounis. A new TOPSIS-based multi-criteria approach to personnel selection[J].Expert Systems with Applications,2010,37(7): 4999-5008
[11]Chu, T. C. Selecting plant location via a fuzzy TOPSIS approach[J]. International Journal of Advanced Manufacturing Technology,2002,859-864
[12]朱晓华,谷卫,毛建山,蔡栋,许毅从.加权topsis法在综合评价糖尿病诊疗质量关键因素中的应用[J].中华内分泌代谢杂志.2011,27(4)：322-323
[13]余超,吴磊,辛青,黄河浪,黄鹏,刘伟新.基于TOPSIS法的江西省农村中医适宜技术推广绩效评估[J].中国全科医学,2012,4：469-471
[14]任力锋,王一任,张彦琼,孙振球.TOPSIS法的改进与比较研究[J].中国卫生统计,2008,25(2)：64-66
[15]王一任,孙振球.应用SAS软件进行Topsis法分析[J].中国卫生统计.2003.20(2)：119-121
[16]杨聚在,林均安等.双理想点排序法用于劳动卫生环境质量的综合评价[J].中国卫生统计.1998,15(2)：4-6
[17]张同发.医院传染病管理质量的双理想点排序法综合评价[J].湖北预防医学杂志.1999.10(5).46-47
[18]王一任,任力锋,孙振球.一种新的改良TOPSIS法及其医学应用[J].中南大学学报(医学版).2012,返修中
[19]韦懿芸,颜艳,胡字峰,等.TOPSIS法和秩和比法相结合综合评价城市老年人生存质量[J].中国老年学杂志,2006,26：440-441
[20]Liberatore, Matthew J. Wash criteria and the analytic hierarchy process[J]. Computers and Operations Research.2004:889-892
[21]Ludovic-Alexandre Vidal, Franck Marle, Jean-Claude Bocquet. Using a Delphi process and the Analytic Hierarchy Process (AHP) to evaluate the complexity of projects [J].Expert Systems with Applications, May 2011,38(5):5388-5405
[22]Herath, Gamini.Incorporating community objectives in improved wetland management:the use of the analytic hierarchy process[J]. Journal of Environmental Management.2004:263-273
[23]Ludovic-Alexandre Vidal, Evren Sahin, Nicolas Martelli, Malik Berhoune, Brigitte Bonan. Applying AHP to select drugs to be produced by anticipation in a chemotherapy compounding unit[J].Expert Systems with Applications,2010,37(2): 1528-1534
[24]Giilcin Buyukozkan, Gizem Cifci, Sezin Guleryuz.Strategic analysis of healthcare service quality using fuzzy AHP methodology[J].Expert Systems with Applications,2011,38(8):9407-9424
[25]王琳,季建林,石淑华.利用层次分析法对小学生行为问题影响因素的量化分析[J].华中科技大学学报(医学版).2011,40(3)：365-369
[26]李翔,周树仁,彭幼林,王建莉.层次分析法在医学工程领域中的应用研究[J].医疗卫生装备,2011,3：
[27]陈磊,梁伟雄,吕志平.生脉胶囊治疗慢性充血性心力衰竭临床疗效的AHP综合评价[J].南方医科大学学报,2010,30(9)：2036-2040
[28]桂莉,王兴鹏.基于层次分析法的农村社区卫生服务满意度评价[J].中国全科医学,2011,28：3205-3207
[29]Ting Wang, Bing chuan Xin, Li juan Qin. AHP-Based Capacity Evaluation of Enterprise Development[J].Procedia Engineering,2011,15:4693-4696
[30]Yucheng Dong, Guiqing Zhang, Wei-Chiang Hong, Yinfeng Xu. Consensus models for AHP group decision making under row geometric mean prioritization method[J].Decision Support Systems,2010,49(3):281-289
[31]W.F. McGhan, K. Vichaichanakul, V.J. Willey.PRM14 VALIDATING AN ONLINE CALCULATOR FOR EVALUATING HEALTH INTERVENTION OPTIONS USING THE ANALYTIC HIERARCHY PROCESS (AHP) [J].Value in Health,2011,14(3):A148
[32]田凤调.秩和比法的应用[M].北京：人民卫生出版社.2002
[33]庄培芬,桑列勇,傅立强.运用秩和比法综合评价某血站2000-2009年采供血业务质量[J].中国卫生统计,2011,58(5)：593-595
[34]李丹丹,曾强林,杨钰欣,江吉富.应用TOPSIS-RSR评价幽门螺杆菌6种检测方法诊断效能[J].重庆医学,2012,41(10)：942-947
[35]丁国武,韩雪梅,王槐,赵文静.应用加权秩和比法评价定西市7个县区卫生资源配置[J].中国卫生统计,2011,28(4)：433-434
[36]汪胜.综合指数法在社区卫生服务满意度评价中的应用[J].中国卫生统计,2011,28(4)：448
[37]刘春华.综合指数法在妇幼保健机构绩效评估中的应用[J].中国病案,2010,11(6)：60-61
[38]Ruiz Nuria, Mathieu Jerome, Celini Leonide. IBQS:A synthetic index of soil quality based on soil macro-invertebrate communities [J].Soil Biology and Biochemistry,2011,43(10):2032-2045
[39]N. Marchettini, R.M. Pulselli, F. Rossi, E. Tiezzi.Entropy[J].Encyclopedia of Ecology,2008:1297-1305
[40]Bhaskar Bhattacharya. Maximum entropy characterizations of the multivariate Liouville distributions[J] Journal of Multivariate Analysis,2006,97(6):1272-1283
[41]徐蕾,徐芳,崔建英,贺佳.基于信息熵的决策树在结核病人住院费用分析中的应用[J].中国医院统计,2009,16(3)：223-225
[42]林嵩艺,祝慧萍,方龙,宇传华.信息熵方法在诊断试验评价meta分析中的应用[J].中国卫生统计.2010,27(6)：582-585
[43]张惠芳,王兆文,朱斌.应用功效系数法综合评价医院医疗工作质量[J].中国医院统计,2012,19(1)：49-50
[44]张萌,孙爱峰.功效系数法在餐厅环境质量综合评价中的应用[J].中国医药指南,2011,13(9)：336-337
[45]成长英,孙爱峰.功效系数法在公共场所卫生监督工作质量综合评价中的应用[J].中国现代医药杂志,2007,9(8)：119
[46]永昌.应用密切值法综合评价疟原虫血片质量[J].中国血吸虫病防治杂志.2012,24(1)：111-112
[47]冷静.医院临床科室营运绩效评价分析[J].卫生经济研究.2012,7：42-45
[48]Nazirah Ramli, Daud Mohamad, Nor Hashimah Sulaiman.Evaluation of Teaching Performance with Outliers Data using Fuzzy Approach[J]. Procedia-Social and Behavioral Sciences,2010,8:190-197
[49]Gokhan Gokmen, Tahir Qetin Akinci, Mehmet Tektas, Nevzat Onat, Gokhan Kocyigit, Necla Tektas.Evaluation of student performance in laboratory applications using fuzzy logic [J].Procedia-Social and Behavioral Sciences,2010,2(2):902-909
[50]Wei-hua Kong, Ran Wang, Yan Wang, Jun-ru Cao. Research and Practice of Intensive Use of Land based on the Fuzzy Evaluation[J].Procedia Environmental Sciences,2011,10:1502-1508
[51]Zadeh L A. Fuzzy set[J]. Information and Control,1965,8(3):338-353
[52]黄辉,丁海龙,韩冰,等.辽宁省饮水型地氟病病区农民生命质量的模糊综合评价[J].中国卫生统计,2011,28(5)：568-569
[53]叶孟良,欧荣.尘肺患者疾病负担的模糊综合评价[J].重庆医学,2010,39(15)：1982-1982
[54]周穗华,张小兵.模糊综合评估模型的改进.武汉理工大学学报：信息与管理工程版.2003.025(005).4-7
[55]张明智.模糊数学与军事决策[M].北京：国防大学出版社,1997.
[56]黄正南.专家评判的信度分析.中国卫生统计.2000.17(3)：154-157
[57]李永新,陈秀伍,赵小燕.人工神经网络对儿童汉语发声声调的识别[J].首都医科大学学报.2011,32(6)：737-741
[58]Paulo J. Lisboa, Azzam F.G Taktak.The use of artificial neural networks in decision support in cancer:A systematic review [J]. Neural Networks,2006, 14(9):408-415
[59]Alvaro Silva, Paulo Cortez, Manuel Filipe Santos, Lopes Gomes, Jose Neves. Mortality assessment in intensive care units via adverse events using artificial neural networks [J].Artificial Intelligence in Medicine,2006,36(3):223-234
[60]Janos D. Pinter.Calibrating artificial neural networks by global optimization^].Expert Systems with Applications,2012,39(1):25-32
[61]PawlakZ. Rough Sets[J].International Joumal of Information and Computer Science,1982, (11):341-356
[62]S. Nanda, S. Majumdar.Fuzzy rough sets[J].Fuzzy Sets and Systems,1992, 45(2):157-160
[63]Zdzistaw Pawlak, Andrzej Skowron. Rudiments of rough sets[J].Information Sciences,2007,177(1):3-27
[64]胡寿松,粗糙决策理论与应用[M].北京航空航天大学出版社,2006
[65]Francis E.H. Tay, Lixiang Shen. Economic and financial prediction using rough sets model [J].European Journal of Operational Research,2002,141(6):641-659
[66]Zhiming Zhang. A rough set approach to intuitionistic fuzzy soft set based decision making[J].Applied Mathematical Modelling,2012,36(10):4605-4633
[67]付海艳,张诚.一基于FCM和粗糙集属性重要度理论的综合评价系统[J].计算机应用.2006,6
[68]陈其坤等.基于粗糙集和模糊聚类的评价方法研究[J].福建行政学院福建经济管理干部学院学报.2005,4
[69]王大将,周庆敏,常志玲等.一种新的多指标综合评价方法[J].统计与决策.2007,7
[70]陈自洁.一种改进的粗集综合评价方法[J].海南师范学院学报自然科学版.2005,4
[71]余嘉元,汪存友.基于VPRS和证据理论的毕业论文综合评价研究[J].计算机工程与应用,2007,1
[72]李伟伟,郭亚军,易平涛,何志勇.基于协商视角的客观自主式综合评价方法[J].系统管理学报,2012,21(3)：378-383
[73]郭亚军,何志勇,董飞飞.基于双重优势的自主式综合评价方法[J].系统工程与电子技术.2011,年33(12)：2668-2671
[74]Ya-jun GUO, Yuan YAO, Ping-tao YI. Method and Application of Dynamic Comprehensive Evaluation[J].Systems Engineering-Theory & Practice,2007, 27(10):154-158
[75]Wei Zuoan, Li Shihai, J.G. Wang, Wan Ling.A dynamic comprehensive method for landslide control [J].Engineering Geology,2006,84(1):1-11
[76]雷中英.建筑工程项目管理效果动态综合评价模型及其应用[J].中国市场,2011,32：43-45
[77]郭亚军,姚远,易平涛.一种动态综合评价方法及应用.系统工程理论与践.2007,27(10)：154-158
[78]郭亚军,唐海勇,曲道钢.基于最小方差的动态综合评价方法及应用.系统工程与电子技术,2010,32(6)：1225-1228
[79]Yager R R. On ordered weight averaging aggregation operators in multi-criteria decision making. IEEE Trans on Systems,Man,and Cybernetics,1988,18(1):183-190
[80]Fuller R, Majlender P. On obtaining minimal variability OWA operator weights. Fuzzy Sets and Systems,2003,136(2):203-215.
[81]Xiaozhan Xu.A note on the subjective and objective integrated approach to determine attribute weights[J].European Journal of Operational Research,2004, 156(2):530-532
[82]Bojan Srdjevic, Zorica Srdjevic.Bi-criteria evolution strategy in estimating weights from the AHP ratio-scale matrices[J].Applied Mathematics and Computation, 2011,218(4):1254-1266
[83]Lu CG, Lan J B, Wang Z X.Aggregation of fuzzy opinions under group decision-making based on similarity and distance[J]. Journal of Systems Science and Complexity.2006,19(1):63-71
[84]Fan Z P, Liu Y.A method for group decision making based on multigranularity uncertain linguistic information[J]. Expert Systems with Applications.2010,37(5): 4000-4008.
[85]Ludovic-Alexandre Vidal, Franck Marle, Jean-Claude Bocquet.Using a Delphi process and the Analytic Hierarchy Process (AHP) to evaluate the complexity of projects[J].Expert Systems with Applications,2011,38(5):5388-5405
[86],廉吉科.基于相似度的专家权重系数的确定.河南理工大学学报(自然科学版).2010,29(2)：283-286
[87]陈俊良,刘新建,陈超.基于语言决策矩阵的专家客观权重确定方法[J].系统工程与电子技术.2011,33(6)：1310-1316
[88]林伟.高校课堂“学评教”综合评价中变异系数法的应用.《商情》.2012,26：162
[89]刘自远,刘成福.综合评价中指标权重系数确定方法探讨[J].中国卫生质量管理,2006,13(2)：44-48
[90]Don-Lin Mon, Ching-Hsue Cheng, Jiann-Chem Lin. Evaluating weapon system using fuzzy analytic hierarchy process based on entropy weight [J].Fuzzy Sets and Systems,1994,62(2):127-134
[91]Xiangxin Li, Kongsen Wang, Li wen Liu, Jing Xin, Hongrui Yang, Chengyao Gao. Application of the Entropy Weight and TOPSIS Method in Safety Evaluation of Coal Mines [J].Procedia Engineering,2011,26:2085-2091
[92]李洪兴.因素空间理论与知识表示的数学框架[J].模糊系统与数学,1995(3)：1-7.
[93]刘文奇.一般变权原理与多目标决策[J].系统工程理论与实践,2000(3)：1-11
[94]李德清,李洪兴.状态变权向量的性质与构造[J].北京师范大学学报：自然科学版,2002(4)：455-461
[95]刘文奇.变权综合中的惩罚-激励效应[J].系统工程理论与实践,1998(18)：41-47
[96]王晓玲.素质教育评价中的变权综合方法[J].系统工程理论与实践,2000(4)：136-140
[97]徐萍CRITIC法在医疗工作质量评价中的应用[J].价值工程.2011,30(1)：200-201
[98]徐萍,高健.熵权法和CRITIC法在医疗工作质量评价中的应用[J].中国医院统计,2011,18(3)：256-258
[99]ID. Diakoulaki, G. Mavrotu,L. papayannakis. Determining objective weights in multiple criteria problems:The CRITIC method.Computer Ops Res.1995,22:763-770
[100]Gulcin Buyukozkan, Gizem Cifci.A combined fuzzy AHP and fuzzy TOPSIS based strategic analysis of electronic service quality in healthcare industry[J].Expert Systems with Applications,2012,39(3):2341-2354
[101]Guillaume Haeringer. A new weight scheme for the Shapley value[J].Mathematical Social Sciences,2006,52:88-98
[102]费成良,组合评价方法及其应用研究[D].中南大学,2008
[103]郁利花,组合评价的集成方法研究[D].浙江工商大学,2011
[2]孙振球,王乐三.医学综合评价方法及其应用[M].北京：化学工业出版社,2006
[3]Shilpa H. Amin, Carol L. Kuhle, Lorraine A. Fitzpatrick.Comprehensive Evaluation of the Older Woman[J].Mayo Clinic Proceedings,2003,78(9): 1157-1185
[4]Theodoros D. Karamitsos, Erica Dall'Armellina, Robin P. Choudhury, Stefan Neubauer. Ischemic heart disease:Comprehensive evaluation by cardiovascular magnetic resonance[J].American Heart Journal,2011,162(1):16-30
[5]James Elicker, Sangeeta Mathur. What do they do all day? Comprehensive evaluation of a full-day kindergarten[J].Early Childhood Research Quarterly, 1997,12(4):459-480
[6]郭亚军主编.综合评价的理论和方法[M].北京：科学技术出版社,2002
[7]弗洛伦斯.N.特雷费森.管理的运筹学[M].约翰.霍普金斯大学出版社,1954：6-8
[8]Pawlak Z. Rough Sets[J]. International Joumal of Information and Computer Science,1982,(11):341-356
[9]Slowinski R.Rough set approach to decision ananlysis[J].AI Expert,March 1995,19-25
[10]王一任,孙振球.医用综合评价方法研究进展[J].中南大学学报(医学版).2005,30(2)：228-232
[11]李贤相,洪倩.卫生综合评价方法研究进展[J].实用预防医学,2003,(06)：1035-1038
[12]李延平,吴玉珍,陈晓东.卫生城市综合评价方法研究与应用[J]中国公共卫生管理,2002,(04)：276-284
[13]陈国宏.组合评价系统综合研究[J].复旦学报(自然科学版).42(5)：667-672
[14]王莲芬等.AHP逆序问题综述[J].系统工程理论与实践,1996,16(6)
[15]杜强.SAS统计分析标准教程[M].人民邮电出版社,2010
[16]German Martinez Montes, Enrique Prados Martin, Javier Alegre Bayo, Javier Ordonez Garcia.The applicability of computer simulation using Monte Carlo techniques in windfarm profitability analysis[J].Renewable and Sustainable Energy Reviews,2011,15(9):4746-4755
[17]Yongzeng Lai.Adaptive Monte Carlo methods for matrix equations with applications[J] Journal of Computational and Applied Mathematics,2009, 231(2):705-714
[18]Qiqi Wang, David Gleich, Amin Saberi, Nasrollah Etemadi, Parviz Moin.A Monte Carlo method for solving unsteady adjoint equations[J]Journal of Computational Physics,2008,227(12):6184-6205
[19]Michael Gnewuch.On probabilistic results for the discrepancy of a hybrid-Monte Carlo sequence Journal of Complexity[J],2009,24(4):312-317
[20]I.T. Dimov, V.N. Alexandrov.A new highly convergent Monte Carlo method for matrix computations[J].Mathematics and Computers in Simulation,1998, 47(2-5):165-181
[21]Sebastien Boyaval.A fast Monte-Carlo method with a reduced basis of control variates applied to uncertainty propagation and Bayesian estimation[J].Computer Methods in Applied Mechanics and Engineering, Volumes,1 October 2012,241-244:190-205
[22]Jens J. Kruger.A Monte Carlo study of old and new frontier methods for efficiency measurement[J].European Journal of Operational Research,2012,222(1):137-148
[23]尹增谦,管景峰,张晓宏.蒙特卡罗方法及应用[J].物理与工程,2002,12(3)：45-49.
[24]Giorgos Arampatzis, Markos A. Katsoulakis, Petr Plechac, Michela Taufer, Lifan Xu.Hierarchical fractional-step approximations and parallel kinetic Monte Carlo algorithms[J] Journal of Computational Physics,2012,231(23): 7795-7814
[25]Keh-Hsun Chen.Dynamic randomization and domain knowledge in Monte-Carlo Tree Search for Go knowledge-based systems[J]. Knowledge-Based Systems,2012,34(10):21-25
[26]David McMahon.MATLAB Demystified[M]. Publisher:McGraw-Hill Professional,2007
[27]Stephen J.chapman.MATLAB Programming for Engineers-4th Edition[M]. Publisher:Thomson Learning.2007
[28]Edward B. Magrab, Shapour Azarm, Balakumar Balachandran.An Engineers Guide to MATLAB:With Applications from Mechanical, Aerospace, Electrical, Civil, and Biological Systems Engineering[M]. Publisher:Prentice Hall,2010
[29]Desmond J. Higham, Nicholas J. Higham.MATLAB Guide[M]. Publisher: Society for Industrial and Applied Mathematic,2008
[30]Harper, J. L. Meriam, L. Glenn Kraige.Solving Statics Problems with MATLAB[M]. Publisher:John Wiley & Sons,2001
[31]孙振球.医学统计学(第3版)[M].北京：人民卫生出版社,2010,8.
[32]李骏；李明敏；李孝儒.平均秩和比及其标准差的意义和应用[J].中国卫生事业管理,1994(04)：222-223
[33]Gulcin Buyukozkan, Gizem Cifci.A combined fuzzy AHP and fuzzy TOPSIS based strategic analysis of electronic service quality in healthcare industry[J].Expert Systems with Applications,2012,39(3):2341-2354
[34]Guillaume Haeringer.A new weight scheme for the Shapley value[J]. Mathematical Social Sciences,2006,52:88-98
[35]费成良,组合评价方法及其应用研究[D].中南大学,2008
[36]郁利花,组合评价的集成方法研究[D].浙江工商大学,2011
[37]Chen Guohong, Chen Yantai. The Research Progress&Development Trend of Comprehensive Evaluation Methods[C]-Proceedings of 2002'International Conference on Management Science & Engineering-Harbin:Harbin Institute of Technology(HIT)Press,2002,462-470
[38]陈国宏等.基于方法集的综合评价方法集化研究[J].中国管理科学,2004,12(1)：101-105
[39]俞立平,潘云涛,武夷山.科技评价结果标准化方法及对组合评价的影响[J].情报杂志,2012,31(1)：41-46
[40]李红,朱建平.综合评价方法研究进展评述[J].统计与决策,2012,9：7-11
[41]曾守桢,陈佳琴,王赢政.基于组合评价的浙江省城市可持续发展能力实证分析[J].统计科学与实践,2012,2：28-30
[42]苏为华等.综合评价技术的扩展与集成问题研究[M].北京：中国统计出版社,2007.
[43]刘自远,刘成福.综合评价中指标权重系数确定方法探讨[J].中国卫生质量管理,2006,13(2)：44-48
[44]Don-Lin Mon, Ching-Hsue Cheng, Jiann-Chern Lin. Evaluating weapon system using fuzzy analytic hierarchy process based on entropy weight [J].Fuzzy Sets and Systems,1994,62(2):127-134
[45]Xiangxin Li, Kongsen Wang, Liwen Liu, Jing Xin, Hongrui Yang, Chengyao Gao.Application of the Entropy Weight and TOPSIS Method in Safety Evaluation of Coal Mines [J].Procedia Engineering,2011,26:2085-2091
[46]李洪兴.因素空间理论与知识表示的数学框架[J].模糊系统与数学,1995(3)：1-7.
[47]刘文奇.一般变权原理与多目标决策[J].系统工程理论与实践,2000(3)：1-11
[48]李德清,李洪兴.状态变权向量的性质与构造[J].北京师范大学学报：自然科学版,2002(4)：455-461
[49]刘文奇.变权综合中的惩罚-激励效应[J].系统工程理论与实践,1998(18)：41-47
[50]王晓玲.素质教育评价中的变权综合方法[J].系统工程理论与实践,2000(4)：136-140
[51]徐萍.CRITIC法在医疗工作质量评价中的应用[J].价值工程.2011,30(1)：200-201
[52]徐萍,高健.熵权法和CRITIC法在医疗工作质量评价中的应用[J].中国医院统计,2011,18(3)：256-258
[53]ID. Diakoulaki, G. Mavrotu, L. papayannakis. Determining objective weights in multiple criteria problems:The CRITIC method[J].Computer Ops Res. 1995,22:763-770
[54]王先甲,张熠.基于AHP和DEA的非均—化灰色关联方法[J].系统工程理论与实践,2011,31(7)：1222-1229
[55]孙志华,谢田法.平均值组合评价方法的优良性研究[J].数学的实践与认识,2008,38(20)：31-39
[56]詹小海,田俊.组合评价法在福建省新农合综合评价中的应用[J].中华疾病控制杂志,2009,13(1)：62-64
[57]黄德才,郑河荣.理想点决策方法的逆序问题与逆序的消除[J].系统工程与电子技术,2001,23(12)：80-82.
[58]陈伟.关于TOPSIS法应用中的逆序问题及消除的方法[J].运筹与管理,2005,13(3)：39-43
[59]Belton V, T Gear.On a short-Coming of saaty's Method of Analytic Hierarchies[J]. OMEGA,1983,11(3):228-230.
[60]于露,李凡修,黄瑜.理想点决策法在湖泊水体富营养化评价中的应用[J].长江大学学报：自然科学版,2011,8(5)：16-18
[61]方荃平.理想点逼近法用于油气管道穿越河流方案的选择[J].油气田地面工 程,2012,31(6)：30-31
[62]Brecht M.R. Donckels, Dirk J.W. De Pauw, Peter A. Vanrolleghem, Bernard De Baets.An ideal point method for the design of compromise experiments to simultaneously estimate the parameters of rival mathematical models[J]. Chemical Engineering Science,2010,65(5):1705-1719
[63]王申东,张武标,施路宁,王小洁.多目标决策—理想点法在医院制剂质量评价中的应用[J].儿科药学杂志,2006,12(6)：1-2
[64]Majid Behzadian, S. Khanmohammadi Otaghsara, Morteza Yazdani, Joshua Ignatius.A state-of the-art survey of TOPSIS applications[J].Expert Systems with Applications,2012,39(17):13051-13069
[65]Xing Zhongyou.Study on the Application of TOPSIS Method to the Introduction of Foreign Players in CBA Games[J].Physics Procedia,2012,33: 2034-2039
[66]Kaveh Pazand, Ardeshir Hezarkhani, Mohammad Ataei.Using TOPSIS approaches for predictive porphyry Cu potential mapping:A case study in Ahar-Arasbaran area (NW, Iran) [J].Computers & Geosciences,2012,22(6):In Press, Accepted Manuscript
[67]Opricovic, Serafim. Compromise solution by MCDM methods:A comparative analysis of VIKOR and TOPSIS[J].European Journal of Operational Research. 2004.156(2):445-455
[68]Alecos Kelemenis, Dimitrios Askounis. A new TOPSIS-based multi-criteria approach to personnel selection[J].Expert Systems with Applications,2010, 37(7):4999-5008
[69]Chu, T. C. Selecting plant location via a fuzzy TOPSIS approach[J]. International Journal of Advanced Manufacturing Technology,2002,859-864
[70]朱晓华,谷卫,毛建山,蔡栋,许毅从.加权topsis法在综合评价糖尿病诊疗质量关键因素中的应用[J].中华内分泌代谢杂志.2011,27(4)：322-323
[71]余超,吴磊,辛青,黄河浪,黄鹏,刘伟新.基于TOPSIS法的江西省农村中医适宜技术推广绩效评估[J].中国全科医学,2012,4：469-471
[72]永昌.应用密切值法综合评价疟原虫血片质量[J].中国血吸虫病防治杂志.2012,24(1)：111-112
[73]L.Hwang,K.Yoon,MultipleAttributeDecisionMaking:Methods and Applications [M], Springer-Verlag,Berlin,1981
[74]Ruta Simanaviciene, Leonas Ustinovichius.Sensitivity Analysis for Multiple Criteria Decision Making Methods:TOPSIS and SAW [J].Procedia-Social and Behavioral Sciences,2010,6(2):7743-7744
[75]Ting-Yu Chen. Comparative analysis of SAW and TOPSIS based on interval-valued fuzzy sets:Discussions on score functions and weight constraints [J].Expert Systems with Applications,2012,39(2):1848-1861
[76]Shuo-Yan Chou, Yao-Hui Chang, Chun-Ying Shen.A fuzzy simple additive weighting system under group decision-making for facility location selection with objective/subjective attributes[J].European Journal of Operational Research,2008,16(1):132-145
[77]寿玉亭,刘长河,段新生.模糊环境下多目标决策的均值优序法[J].北京工业大学学报,2002,28(2)：229-232
[78]遇今,石柱.优序法在管理成果评价中的应用[J].系统工程与电子技术,2000,122(2)：76-78
[79]任传栋,王志真,高佳,刘成良.加权优序法在地下水质评价中的应用[J].水科学与工程技术.2008,5：52-55
[80]田凤调.秩和比法的应用[M].北京：人民卫生出版社.2002
[81]庄培芬,桑列勇,傅立强.运用秩和比法综合评价某血站2000-2009年采供血业务质量[J].中国卫生统计,2011,58(5)：593-595
[82]李丹丹,曾强林,杨钰欣,江吉富.应用TOPSIS-RSR评价幽门螺杆菌6种检测方法诊断效能[J].重庆医学,2012,41(10)：942-947
[83]丁国武,韩雪梅,王槐,赵文静.应用加权秩和比法评价定西市7个县区卫生资源配置[J].中国卫生统计,2011,28(4)：433-434
[84]N. Marchettini, R.M. Pulselli, F. Rossi, E. Tiezzi.Entropy[J].Encyclopedia of Ecology,2008:1297-1305
[85]Bhaskar Bhattacharya. Maximum entropy characterizations of the multivariate Liouville distributions[J] Journal of Multivariate Analysis,2006,97(6): 1272-1283
[86]林嵩艺,祝慧萍,方龙,宇传华.信息熵方法在诊断试验评价meta分析中的应用[J].中国卫生统计.2010,27(6)：582-585
[87]徐蕾,徐芳,崔建英,贺佳.基于信息熵的决策树在结核病人住院费用分析中的应用[J].中国医院统计,2009,16(3)：223-225
[88]Don-Lin Mon, Ching-Hsue Cheng, Jiann-Chern Lin. Evaluating weapon system using fuzzy analytic hierarchy process based on entropy weight [J].Fuzzy Sets and Systems,1994,62(2):127-134
[89]Xiangxin Li, Kongsen Wang, Liwen Liu, Jing Xin, Hongrui Yang, Chengyao Gao.Application of the Entropy Weight and TOPSIS Method in Safety Evaluation of Coal Mines [J].Procedia Engineering,2011,26:2085-2091
[90]Xiaoqian Zhu, Fei Wang, Changzhi Liang, Jianping Li, Xiaolei Sun.Quality Credit Evaluation based on TOPSIS:Evidence from Air-conditioning Market in China[J].Procedia Computer Science,2012,9:1256-1262
[91]Ren-Jieh Kuo, Yung-Hung Wu, Tsung-Shin Hsu.Integration of fuzzy set theory and TOPSIS into HFMEA to improve outpatient service for elderly patients in Taiwan[J] Journal of the Chinese Medical Association,2012,75(7):341-348
[92]Madjid Tavana, Adel Hatami-Marbini.A group AHP-TOPSIS framework for human spaceflight mission planning at NASA[J].Expert Systems with Applications,2011,38(11):13588-13603
[93]Jianyu Chu, Youpo Su.The Application of TOPSIS Method in Selecting Fixed Seismic Shelter for Evacuation in Cities [J].Systems Engineering Procedia, 2012,3:391-397
[94]Alecos Kelemenis, Dimitrios Askounis. A new TOPSIS-based multi-criteria approach to personnel selection [J]Expert Systems with Applications,2010, 37(7):4999-5008
[95]Ye Chen, Kevin W. Li, Si-feng Liu.An OWA-TOPSIS method for multiple criteria decision analysis [J].Expert Systems with Applications,2011, 38(5):5205-5211
[96]Elio Cables, M. Socorro Garcia-Cascales, M. Teresa Lamata.The LTOPSIS:An alternative to TOPSIS decision-making approach for linguistic variables[J].Expert Systems with Applications,2012,39(2):2119-2126
[97]Lifeng Ren, Yanqiong Zhang, Yiren Wang, Zhenqiu Sun. Comparative Analysis of a Novel M-TOPSIS Method and TOPSIS[J]. Applied Mathematics Research Express.2007:1-10
[98]任力锋,王一任,张彦琼,孙振球.TOPSIS法的改进与比较研究[J].中国卫生统计,2008,25(2)：64-66
[99]韦懿芸,颜艳,胡字峰等.TOPSIS法和秩和比法相结合综合评价城市老年人生存质量[J].中国老年学杂志,2006,26：440-441.
[100]安丰山,黄金球,陈少湖,谢映涛.食管癌病人不同治疗方式生活质量纵向研究[J]中华胸心血管外科杂志.2004,20(3)：151-154
[101]傅建国,史静琤,孙振球.生活质量评价在良性前列腺增生症手术治疗效果 评价中的应用[J].中国老年医学杂志,2007,27(12)：2398-2400
[102]胡宇峰,孙振球.生活质量指标在绝经后骨质疏松症医疗效果评价中的作用[J].中南大学学报(医学版),2005,30(3)：299-303
[103]杨土保.2型糖尿病不同治疗方案的医疗效果综合评价研究[D].长沙：中南大学,2007
[104]莫苗芳.良性前列腺增生症患者常见手术方式医疗效果综合评价[M].长沙：中南大学,2008
[105]Ya-jun GUO, Yuan YAO, Ping-tao YI. Method and Application of Dynamic Comprehensive Evaluation[J].Systems Engineering-Theory & Practice,2007, 27(10):154-158
[106]Wei Zuoan, Li Shihai, J.G. Wang, Wan Ling.A dynamic comprehensive method for landslide control [J].Engineering Geology,2006,84(1):1-11
[107]郭亚军,姚远,易平涛.一种动态综合评价方法及应用[J].系统工程理论与实践.2007,27(10)：154-158
[108]Liu X W. Some properties of the weighted OWA operator[J].IEEE Transactions on Systems, Man, and Cybernetics,2006,36(1):118-127.
[109]Fuller R, Majlender P. On obtaining minimal variability OWA operator weights[J]. Fuzzy Sets and Systems,2003,136(2):203-215.
[110]Shaffer G. Slotting allowances and optimal product variety [J].Advances in Economic Analysis&Policy,2005,5(1):1084-1110.
[111]John Walkenbach,Brian Underdahl. Excel 2002 Bible[M]. Hungry Minds, Inc.2001
[112]Olivier Raguin,a,b Anne Gruaz-Guyon.Equilibrium expert:an add-in to Microsoft Excel for multiple binding equilibrium simulations and parameter estimations[J]. Analytical Biochemistry.310 (2002):1-14
[113]Frieder Langenbucher.Handling of computational in vitro/in vivo correlation problems by Microsoft Excel:I.principles and some general algorithms[J].European Journal of Pharmaceutics and Biopharmaceutics.2002 (53):1-7
[114]Victor C. Kressa, Mark S. Ghiorso.Microsoft EXCEL spreadsheet-based program for calculating equilibrium gas speciation in the C-O-H-S-Cl-F system[J]. Computers & Geosciences.2004(30):211-214
[115]George L.W. Perry.SpPack:spatial point pattern analysis in Excel using Visual Basic for Applications (VBA)[J]. Environmental Modelling & Software. 2004(19):559-569
[116]王成春,萧雅云.实战Excel2002 VBA程序设计实务[M].北京：中国铁道出版社.2003
[117]Marinoni Oswald.Implementation of the analytical hierarchy process with VBA in ArcGIS[J]. Computers and Geosciences,2004,30(6):637-646
[118]Pechter David S. Controlling a Twister II with VBA and the Zymark ZyRobot ICP[J] Journal of the Association for Laboratory Automation,2002,7(6):92-95
[119]Meineke Ingolf. An add-in implementation of the resampling syntax under Microsoft excel[J]. Computer Methods and Programs in Biomedicine,2000, 63(2):99-104
[120]Raguin Olivier, Gruaz-Guyon, Anne. Equilibrium expert:an add-in to Microsoft Excel for multiple binding equilibrium simulations and parameter estimations[J]. Analytical Biochemistry,2002,310(1):1-14
[121]Sato Hitoshi, Sato Satomi. Add-in macros for rapid and versatile calculation of non-compartmental pharmacokinetic parameters on Microsoft Excel spreadsheets[J]. Computer Methods and Programs in Biomedicine,1996, 50(1):43-52
[122]Berardi A.ASTROMOD:a computer program integrating vegetation dynamics modelling, environmental modelling and spatial data visualisation in Microsoft Excel[J]. Environmental Modelling and Software,2002,17(4):403-412
[123]Taruna Goel, Rachna Chaudhary. VBA Professional Projects[M]. USA:Premier Press Inc.2002
[124]J.P. Le Roux, M. Brodalka.An ExcelTM-VBA programme for the analysis of current velocity profiles[J].Computers & Geosciences, Volume 30, Issue 8, October 2004, Pages 867-879
[125]Jibin Zhou, Xianhua Li.GeoPlot:An Excel VBA program for geochemical data plotting[J].Computers & Geosciences,2006,32(4):554-560
[126]陈晓蓉.Visio2002入门与提高[M].北京：北京理工大学出版社.2002
[127]Eric Brierley, Anthony Prince. The Waite Group's Visual Basic 6 How-To[M].Sams PubUshiBg.1998
[128]Paul Lomax.VB&VBA in a Nutshell:The Language[M].UK:O'Reilly.2002
[129]C.R. Chen, H.S. Ramaswamy. Visual Basics computer simulation package for thermal process calculations [J].Chemical Engineering and Processing:Process Intensification,2007,46(7):603-613
[130]王启栋,殷敏生.模糊综合评价疾病治疗质量[J].中国卫生统计.2000.17(5)：300-301
[131]张惠芳,王兆文,朱斌.应用功效系数法综合评价医院医疗工作质量[J].中国医院统计,2012,19(1)：49-50
[132]张萌,孙爱峰.功效系数法在餐厅环境质量综合评价中的应用[J].中国医药指南,2011,13(9)：336-337
[133]成长英,孙爱峰.功效系数法在公共场所卫生监督工作质量综合评价中的应用[J].中国现代医药杂志,2007,9(8)：119
[134]Liberatore, Matthew J. Wash criteria and the analytic hierarchy process[J]. Computers and Operations Research.2004:889-892
[135]Ludovic-Alexandre Vidal, Franck Marle, Jean-Claude Bocquet. Using a Delphi process and the Analytic Hierarchy Process (AHP) to evaluate the complexity of projects [J].Expert Systems with Applications, May 2011,38(5):5388-5405
[136]Herath, Gamini.Incorporating community objectives in improved wetland management:the use of the analytic hierarchy process[J]. Journal of Environmental Management.2004:263-273
[137]Ludovic-Alexandre Vidal, Evren Sahin, Nicolas Martelli, Malik Berhoune, Brigitte Bonan.Applying AHP to select drugs to be produced by anticipation in a chemotherapy compounding unit[J].Expert Systems with Applications, 2010,37(2):1528-1534
[138]Gulcin Buyiikozkan, Gizem Cifci, Sezin Guleryuz. Strategic analysis of healthcare service quality using fuzzy AHP methodology[J].Expert Systems with Applications,2011,38(8):9407-9424
[139]王琳,季建林,石淑华.利用层次分析法对小学生行为问题影响因素的量化分析[J].华中科技大学学报(医学版).2011,40(3)：365-369
[140]李翔,周树仁,彭幼林,王建莉.层次分析法在医学工程领域中的应用研究[J].医疗卫生装备,2011,3：
[141]陈磊,梁伟雄,吕志平.生脉胶囊治疗慢性充血性心力衰竭临床疗效的AHP综合评价[J].南方医科大学学报,2010,30(9)：2036-2040
[142]刘文川.脑出血发病与气象因素关系的灰色关联分析[J].数理医药学杂志.2002,15(5)：431-432
[143]王一任,孙振球.应用SAS软件进行Topsis法分析[J].中国卫生统计.2003.20(2)：119-121
[144]方积乾.卫生统计学[M].北京：人民卫生出版社.2003
[145]孙振球.医学统计学[M].北京：人民卫生出版社,2002
[146]马治灵.采用密切值法评价医疗工作质量[J].中国卫生统计,2003,20(3)：179-180
[147]刘保华,吴小凡.功效系数法在医疗质量综合评价中的应用[J].中华今日医学杂志.2003,3(9)：93-94
[148]倪宗瓒.卫生统计学[M].北京：人民卫生出版社,2000,242-245.
[149]V.N. Alexandrov, Christian Gonzalez Martel, J. StraBburg. Monte Carlo scalable algorithms for Computational Finance[J].Procedia Computer Science, 2011,4:1708-1715
[150]G.R. Jahanshahloo, F. Hosseinzadeh Lotfi, H. Zhiani Rezai, F. Rezai Balf. Using Monte Carlo method for ranking efficient DMUs [J]Applied Mathematics and Computation,2005,162(1):371-379
[151]Saaty T L. Rank and the Controversy about the Axioms of Utility theory, A Comparison of AHP and MAUT[J]. Proceedings of the ISAHP-22.Sept.12-14, 1991,87-111.
[152]Saaty T L,L.G Vargas. The legitimacy of Rank Reversal[J]. OMEGA, 1984,12(5):513-516.
[153]Saaty T L. An Exposition of the AHP in Reply to the Paper.Remarks on the Analytic Hierarchy proeess[J].ManagementSeience.1990,36(3):259-268.
[154]Satty T L. Rank from comparisons and from ratings in the analytic hierarchy/network processes [J]. European Journal of Operational Research,2006,168(2):557-570
[155]Barker T J,Zabinsky Z B. A multicriteria decision making model for reverse logistics using analytical hierarchy process [J]. Omega.2011,39(5):558-573.
[156]张运峰,张春阳.两种多目标决策方案的逆序实例及分析.1998,16(6)：64-67
[157]Wang,T.C,Lee,H.S.D. Developing a fuzzy TOPSIS approach based on subjective weights and objectiveweights[J].Expert Systems with Applications, 2009,36 (5):8980-8985
[158]刘刚.Excel在统计分析中的应用[M].北京：人民卫生出版社.2002：291-304
[1]孙振球.医学统计学[M].北京：人民卫生出版社,2010.
[2]王一任,孙振球.医用综合评价方法研究进展[J].中南大学学报(医学版).2005,30(2)：228-232.
[3]Shilpa H. Amin, Carol L. Kuhle, Lorraine A. Fitzpatrick.Comprehensive Evaluation of the Older Woman[J].Mayo Clinic Proceedings,2003,78(9):1157-1185
[4]Theodoros D. Karamitsos, Erica Dall 'Armellina, Robin P. Choudhury, Stefan Neubauer. Ischemic heart disease:Comprehensive evaluation by cardiovascular magnetic resonance[J].American Heart Journal,2011,162(1):16-30
[5]James Elicker, Sangeeta Mathur. What do they do all day?Comprehensive evaluation of a full-day kindergarten[J].Early Childhood Research Quarterly, 1997,12(4):459-480
[6]Majid Behzadian, S. Khanmohammadi Otaghsara, Morteza Yazdani, Joshua Ignatius.A state-of the-art survey of TOPSIS applications[J].Expert Systems with Applications,2012,39(17):13051-13069
[7]Xing Zhongyou.Study on the Application of TOPSIS Method to the Introduction of Foreign Players in CBA Games [J].Physics Procedia,2012,33:2034-2039
[8]Kaveh Pazand, Ardeshir Hezarkhani, Mohammad Ataei.Using TOPSIS approaches for predictive porphyry Cu potential mapping:A case study in Ahar-Arasbaran area (NW, Iran) [J].Computers & Geosciences,2012,22(6):In Press, Accepted Manuscript
[9]Opricovic, Serafim. Compromise solution by MCDM methods:A comparative analysis of VIKOR and TOPS IS [J].European Journal of Operational Research. 2004.156(2):445-455
[10]Alecos Kelemenis, Dimitrios Askounis. A new TOPSIS-based multi-criteria approach to personnel selection[J].Expert Systems with Applications,2010,37(7): 4999-5008
[11]Chu, T. C. Selecting plant location via a fuzzy TOPSIS approach[J]. International Journal of Advanced Manufacturing Technology,2002,859-864
[12]朱晓华,谷卫,毛建山,蔡栋,许毅从.加权topsis法在综合评价糖尿病诊疗质量关键因素中的应用[J].中华内分泌代谢杂志.2011,27(4)：322-323
[13]余超,吴磊,辛青,黄河浪,黄鹏,刘伟新.基于TOPSIS法的江西省农村中医适宜技术推广绩效评估[J].中国全科医学,2012,4：469-471
[14]任力锋,王一任,张彦琼,孙振球.TOPSIS法的改进与比较研究[J].中国卫生统计,2008,25(2)：64-66
[15]王一任,孙振球.应用SAS软件进行Topsis法分析[J].中国卫生统计.2003.20(2)：119-121
[16]杨聚在,林均安等.双理想点排序法用于劳动卫生环境质量的综合评价[J].中国卫生统计.1998,15(2)：4-6
[17]张同发.医院传染病管理质量的双理想点排序法综合评价[J].湖北预防医学杂志.1999.10(5).46-47
[18]王一任,任力锋,孙振球.一种新的改良TOPSIS法及其医学应用[J].中南大学学报(医学版).2012,返修中
[19]韦懿芸,颜艳,胡字峰,等.TOPSIS法和秩和比法相结合综合评价城市老年人生存质量[J].中国老年学杂志,2006,26：440-441
[20]Liberatore, Matthew J. Wash criteria and the analytic hierarchy process[J]. Computers and Operations Research.2004:889-892
[21]Ludovic-Alexandre Vidal, Franck Marle, Jean-Claude Bocquet. Using a Delphi process and the Analytic Hierarchy Process (AHP) to evaluate the complexity of projects [J].Expert Systems with Applications, May 2011,38(5):5388-5405
[22]Herath, Gamini.Incorporating community objectives in improved wetland management:the use of the analytic hierarchy process[J]. Journal of Environmental Management.2004:263-273
[23]Ludovic-Alexandre Vidal, Evren Sahin, Nicolas Martelli, Malik Berhoune, Brigitte Bonan. Applying AHP to select drugs to be produced by anticipation in a chemotherapy compounding unit[J].Expert Systems with Applications,2010,37(2): 1528-1534
[24]Giilcin Buyukozkan, Gizem Cifci, Sezin Guleryuz.Strategic analysis of healthcare service quality using fuzzy AHP methodology[J].Expert Systems with Applications,2011,38(8):9407-9424
[25]王琳,季建林,石淑华.利用层次分析法对小学生行为问题影响因素的量化分析[J].华中科技大学学报(医学版).2011,40(3)：365-369
[26]李翔,周树仁,彭幼林,王建莉.层次分析法在医学工程领域中的应用研究[J].医疗卫生装备,2011,3：
[27]陈磊,梁伟雄,吕志平.生脉胶囊治疗慢性充血性心力衰竭临床疗效的AHP综合评价[J].南方医科大学学报,2010,30(9)：2036-2040
[28]桂莉,王兴鹏.基于层次分析法的农村社区卫生服务满意度评价[J].中国全科医学,2011,28：3205-3207
[29]Ting Wang, Bing chuan Xin, Li juan Qin. AHP-Based Capacity Evaluation of Enterprise Development[J].Procedia Engineering,2011,15:4693-4696
[30]Yucheng Dong, Guiqing Zhang, Wei-Chiang Hong, Yinfeng Xu. Consensus models for AHP group decision making under row geometric mean prioritization method[J].Decision Support Systems,2010,49(3):281-289
[31]W.F. McGhan, K. Vichaichanakul, V.J. Willey.PRM14 VALIDATING AN ONLINE CALCULATOR FOR EVALUATING HEALTH INTERVENTION OPTIONS USING THE ANALYTIC HIERARCHY PROCESS (AHP) [J].Value in Health,2011,14(3):A148
[32]田凤调.秩和比法的应用[M].北京：人民卫生出版社.2002
[33]庄培芬,桑列勇,傅立强.运用秩和比法综合评价某血站2000-2009年采供血业务质量[J].中国卫生统计,2011,58(5)：593-595
[34]李丹丹,曾强林,杨钰欣,江吉富.应用TOPSIS-RSR评价幽门螺杆菌6种检测方法诊断效能[J].重庆医学,2012,41(10)：942-947
[35]丁国武,韩雪梅,王槐,赵文静.应用加权秩和比法评价定西市7个县区卫生资源配置[J].中国卫生统计,2011,28(4)：433-434
[36]汪胜.综合指数法在社区卫生服务满意度评价中的应用[J].中国卫生统计,2011,28(4)：448
[37]刘春华.综合指数法在妇幼保健机构绩效评估中的应用[J].中国病案,2010,11(6)：60-61
[38]Ruiz Nuria, Mathieu Jerome, Celini Leonide. IBQS:A synthetic index of soil quality based on soil macro-invertebrate communities [J].Soil Biology and Biochemistry,2011,43(10):2032-2045
[39]N. Marchettini, R.M. Pulselli, F. Rossi, E. Tiezzi.Entropy[J].Encyclopedia of Ecology,2008:1297-1305
[40]Bhaskar Bhattacharya. Maximum entropy characterizations of the multivariate Liouville distributions[J] Journal of Multivariate Analysis,2006,97(6):1272-1283
[41]徐蕾,徐芳,崔建英,贺佳.基于信息熵的决策树在结核病人住院费用分析中的应用[J].中国医院统计,2009,16(3)：223-225
[42]林嵩艺,祝慧萍,方龙,宇传华.信息熵方法在诊断试验评价meta分析中的应用[J].中国卫生统计.2010,27(6)：582-585
[43]张惠芳,王兆文,朱斌.应用功效系数法综合评价医院医疗工作质量[J].中国医院统计,2012,19(1)：49-50
[44]张萌,孙爱峰.功效系数法在餐厅环境质量综合评价中的应用[J].中国医药指南,2011,13(9)：336-337
[45]成长英,孙爱峰.功效系数法在公共场所卫生监督工作质量综合评价中的应用[J].中国现代医药杂志,2007,9(8)：119
[46]永昌.应用密切值法综合评价疟原虫血片质量[J].中国血吸虫病防治杂志.2012,24(1)：111-112
[47]冷静.医院临床科室营运绩效评价分析[J].卫生经济研究.2012,7：42-45
[48]Nazirah Ramli, Daud Mohamad, Nor Hashimah Sulaiman.Evaluation of Teaching Performance with Outliers Data using Fuzzy Approach[J]. Procedia-Social and Behavioral Sciences,2010,8:190-197
[49]Gokhan Gokmen, Tahir Qetin Akinci, Mehmet Tektas, Nevzat Onat, Gokhan Kocyigit, Necla Tektas.Evaluation of student performance in laboratory applications using fuzzy logic [J].Procedia-Social and Behavioral Sciences,2010,2(2):902-909
[50]Wei-hua Kong, Ran Wang, Yan Wang, Jun-ru Cao. Research and Practice of Intensive Use of Land based on the Fuzzy Evaluation[J].Procedia Environmental Sciences,2011,10:1502-1508
[51]Zadeh L A. Fuzzy set[J]. Information and Control,1965,8(3):338-353
[52]黄辉,丁海龙,韩冰,等.辽宁省饮水型地氟病病区农民生命质量的模糊综合评价[J].中国卫生统计,2011,28(5)：568-569
[53]叶孟良,欧荣.尘肺患者疾病负担的模糊综合评价[J].重庆医学,2010,39(15)：1982-1982
[54]周穗华,张小兵.模糊综合评估模型的改进.武汉理工大学学报：信息与管理工程版.2003.025(005).4-7
[55]张明智.模糊数学与军事决策[M].北京：国防大学出版社,1997.
[56]黄正南.专家评判的信度分析.中国卫生统计.2000.17(3)：154-157
[57]李永新,陈秀伍,赵小燕.人工神经网络对儿童汉语发声声调的识别[J].首都医科大学学报.2011,32(6)：737-741
[58]Paulo J. Lisboa, Azzam F.G Taktak.The use of artificial neural networks in decision support in cancer:A systematic review [J]. Neural Networks,2006, 14(9):408-415
[59]Alvaro Silva, Paulo Cortez, Manuel Filipe Santos, Lopes Gomes, Jose Neves. Mortality assessment in intensive care units via adverse events using artificial neural networks [J].Artificial Intelligence in Medicine,2006,36(3):223-234
[60]Janos D. Pinter.Calibrating artificial neural networks by global optimization^].Expert Systems with Applications,2012,39(1):25-32
[61]PawlakZ. Rough Sets[J].International Joumal of Information and Computer Science,1982, (11):341-356
[62]S. Nanda, S. Majumdar.Fuzzy rough sets[J].Fuzzy Sets and Systems,1992, 45(2):157-160
[63]Zdzistaw Pawlak, Andrzej Skowron. Rudiments of rough sets[J].Information Sciences,2007,177(1):3-27
[64]胡寿松,粗糙决策理论与应用[M].北京航空航天大学出版社,2006
[65]Francis E.H. Tay, Lixiang Shen. Economic and financial prediction using rough sets model [J].European Journal of Operational Research,2002,141(6):641-659
[66]Zhiming Zhang. A rough set approach to intuitionistic fuzzy soft set based decision making[J].Applied Mathematical Modelling,2012,36(10):4605-4633
[67]付海艳,张诚.一基于FCM和粗糙集属性重要度理论的综合评价系统[J].计算机应用.2006,6
[68]陈其坤等.基于粗糙集和模糊聚类的评价方法研究[J].福建行政学院福建经济管理干部学院学报.2005,4
[69]王大将,周庆敏,常志玲等.一种新的多指标综合评价方法[J].统计与决策.2007,7
[70]陈自洁.一种改进的粗集综合评价方法[J].海南师范学院学报自然科学版.2005,4
[71]余嘉元,汪存友.基于VPRS和证据理论的毕业论文综合评价研究[J].计算机工程与应用,2007,1
[72]李伟伟,郭亚军,易平涛,何志勇.基于协商视角的客观自主式综合评价方法[J].系统管理学报,2012,21(3)：378-383
[73]郭亚军,何志勇,董飞飞.基于双重优势的自主式综合评价方法[J].系统工程与电子技术.2011,年33(12)：2668-2671
[74]Ya-jun GUO, Yuan YAO, Ping-tao YI. Method and Application of Dynamic Comprehensive Evaluation[J].Systems Engineering-Theory & Practice,2007, 27(10):154-158
[75]Wei Zuoan, Li Shihai, J.G. Wang, Wan Ling.A dynamic comprehensive method for landslide control [J].Engineering Geology,2006,84(1):1-11
[76]雷中英.建筑工程项目管理效果动态综合评价模型及其应用[J].中国市场,2011,32：43-45
[77]郭亚军,姚远,易平涛.一种动态综合评价方法及应用.系统工程理论与践.2007,27(10)：154-158
[78]郭亚军,唐海勇,曲道钢.基于最小方差的动态综合评价方法及应用.系统工程与电子技术,2010,32(6)：1225-1228
[79]Yager R R. On ordered weight averaging aggregation operators in multi-criteria decision making. IEEE Trans on Systems,Man,and Cybernetics,1988,18(1):183-190
[80]Fuller R, Majlender P. On obtaining minimal variability OWA operator weights. Fuzzy Sets and Systems,2003,136(2):203-215.
[81]Xiaozhan Xu.A note on the subjective and objective integrated approach to determine attribute weights[J].European Journal of Operational Research,2004, 156(2):530-532
[82]Bojan Srdjevic, Zorica Srdjevic.Bi-criteria evolution strategy in estimating weights from the AHP ratio-scale matrices[J].Applied Mathematics and Computation, 2011,218(4):1254-1266
[83]Lu CG, Lan J B, Wang Z X.Aggregation of fuzzy opinions under group decision-making based on similarity and distance[J]. Journal of Systems Science and Complexity.2006,19(1):63-71
[84]Fan Z P, Liu Y.A method for group decision making based on multigranularity uncertain linguistic information[J]. Expert Systems with Applications.2010,37(5): 4000-4008.
[85]Ludovic-Alexandre Vidal, Franck Marle, Jean-Claude Bocquet.Using a Delphi process and the Analytic Hierarchy Process (AHP) to evaluate the complexity of projects[J].Expert Systems with Applications,2011,38(5):5388-5405
[86],廉吉科.基于相似度的专家权重系数的确定.河南理工大学学报(自然科学版).2010,29(2)：283-286
[87]陈俊良,刘新建,陈超.基于语言决策矩阵的专家客观权重确定方法[J].系统工程与电子技术.2011,33(6)：1310-1316
[88]林伟.高校课堂“学评教”综合评价中变异系数法的应用.《商情》.2012,26：162
[89]刘自远,刘成福.综合评价中指标权重系数确定方法探讨[J].中国卫生质量管理,2006,13(2)：44-48
[90]Don-Lin Mon, Ching-Hsue Cheng, Jiann-Chem Lin. Evaluating weapon system using fuzzy analytic hierarchy process based on entropy weight [J].Fuzzy Sets and Systems,1994,62(2):127-134
[91]Xiangxin Li, Kongsen Wang, Li wen Liu, Jing Xin, Hongrui Yang, Chengyao Gao. Application of the Entropy Weight and TOPSIS Method in Safety Evaluation of Coal Mines [J].Procedia Engineering,2011,26:2085-2091
[92]李洪兴.因素空间理论与知识表示的数学框架[J].模糊系统与数学,1995(3)：1-7.
[93]刘文奇.一般变权原理与多目标决策[J].系统工程理论与实践,2000(3)：1-11
[94]李德清,李洪兴.状态变权向量的性质与构造[J].北京师范大学学报：自然科学版,2002(4)：455-461
[95]刘文奇.变权综合中的惩罚-激励效应[J].系统工程理论与实践,1998(18)：41-47
[96]王晓玲.素质教育评价中的变权综合方法[J].系统工程理论与实践,2000(4)：136-140
[97]徐萍CRITIC法在医疗工作质量评价中的应用[J].价值工程.2011,30(1)：200-201
[98]徐萍,高健.熵权法和CRITIC法在医疗工作质量评价中的应用[J].中国医院统计,2011,18(3)：256-258
[99]ID. Diakoulaki, G. Mavrotu,L. papayannakis. Determining objective weights in multiple criteria problems:The CRITIC method.Computer Ops Res.1995,22:763-770
[100]Gulcin Buyukozkan, Gizem Cifci.A combined fuzzy AHP and fuzzy TOPSIS based strategic analysis of electronic service quality in healthcare industry[J].Expert Systems with Applications,2012,39(3):2341-2354
[101]Guillaume Haeringer. A new weight scheme for the Shapley value[J].Mathematical Social Sciences,2006,52:88-98
[102]费成良,组合评价方法及其应用研究[D].中南大学,2008
[103]郁利花,组合评价的集成方法研究[D].浙江工商大学,2011