效应全偏联系数及其在区域水资源承载力评价中的应用
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摘要
为准确描述偏联系数的数学表达形式,揭示偏联系数的物理内涵,采用偏正联系数与偏负联系数相互综合比较分析的研究思路,归纳提出了用于评价集对事件发展趋势的效应全偏联系数。与现有的2种偏联系数的计算方法进行对比分析,得出3种偏联系数计算方法的理论差别,并将3种计算方法进行实例对比分析。结果表明:效应全偏联系数方法计算的某医院1997年、2000年的医疗质量偏联系数与方法二(覃杰等提出)、方法三(陆广地等提出)的计算结果具有较大差异,效应全偏联系数方法的计算结果更加接近实际。将效应全偏联系数方法应用于安徽省水资源承载力评价中,进一步验证该方法的适用性。结果表明:效应全偏联系数方法与减法集对势方法计算判别的各年份水资源承载力的发展趋势比较一致,相关系数接近1. 0,表明效应全偏联系数方法在水资源承载力评价中是适用的。上述2个实例的分析比较结果说明,效应全偏联系数方法的计算结果合理可靠,可为集对事件发展趋势的判断分析提供新途径,具有推广应用价值。
In order to describe the mathematical expression of partial connection number more accurately,reveal the physical connotation of the partial connection number,this paper uses the research ideas of the comprehensive analysis of the comparative analysis of the partial positive connection number and the partial negative connection number,and summarizes the effect full partial connection number,which is used to evaluate the trend of the event of set pair. The theoretical difference between the three methods is obtained by comparing with the two existing calculation methods of partial connection number,and the three methods are compared and analyzed in the medical quality evaluation of a hospital. The results show that the deviation coefficients of the effect full partial connection number in 1997 and 2000 are different from the ones of the method two( proposed by QIN Jie and others) and the method three( proposed by LU Guangdi and others),and the result of the effect full partial connection number is more closer to development trend reality of set pair. The effect full partial connection number is applied to the evaluation of water resources carrying capacity of Anhui Province,and the applicability of the effect full partial connection number is further verified. The results show that the effect full partial connection number is consistent with the development trend of the annual water resources carrying capacity calculated by the subtraction set,their correlation coefficient is close to 1. 0,and it proves that the effect full partial connection number method is also applicable in the evaluation of water resource carrying capacity. The analysis and comparison of the two examples show that the results of the calculation of effect full partial connection number are reasonable and reliable,which provides a new way for the judge of the development trend of set pair event,and it has the value of popularization.
In order to describe the mathematical expression of partial connection number more accurately,reveal the physical connotation of the partial connection number,this paper uses the research ideas of the comprehensive analysis of the comparative analysis of the partial positive connection number and the partial negative connection number,and summarizes the effect full partial connection number,which is used to evaluate the trend of the event of set pair. The theoretical difference between the three methods is obtained by comparing with the two existing calculation methods of partial connection number,and the three methods are compared and analyzed in the medical quality evaluation of a hospital. The results show that the deviation coefficients of the effect full partial connection number in 1997 and 2000 are different from the ones of the method two( proposed by QIN Jie and others) and the method three( proposed by LU Guangdi and others),and the result of the effect full partial connection number is more closer to development trend reality of set pair. The effect full partial connection number is applied to the evaluation of water resources carrying capacity of Anhui Province,and the applicability of the effect full partial connection number is further verified. The results show that the effect full partial connection number is consistent with the development trend of the annual water resources carrying capacity calculated by the subtraction set,their correlation coefficient is close to 1. 0,and it proves that the effect full partial connection number method is also applicable in the evaluation of water resource carrying capacity. The analysis and comparison of the two examples show that the results of the calculation of effect full partial connection number are reasonable and reliable,which provides a new way for the judge of the development trend of set pair event,and it has the value of popularization.
引文
[1]赵克勤.偏联系数[C]/中国人工智能学会.中国人工智能进展.北京:北京邮电大学出版社,2005:884-886.
[2]金菊良,沈时兴,郦建强,等.基于联系数的区域水资源承载力评价与诊断分析方法[J].华北水利水电大学学报(自然科学版),2018,39(1):1-9.
[3]赵克勤.集对分析及其初步应用[M].杭州:浙江科技出版社,2000.
[4]覃杰,赵克勤.基于偏联系数的医院医疗质量发展趋势综合分析[J].中国医院统计,2007,14(2):127-129.
[5]陆广地,吴宝明,赵克勤.用偏联系数与态势函数对高校评价的聚类分析[J].数学的实践与认识,2015,45(19):50-59.
[6] HOU Z Y,LU W X,XUE H B,et al. A comparative research of different ensemble surrogate models based on set pair analysis for the DNAPL-contaminated aquifer remediation strategy optimization[J]. Journal of contaminant hydrology,2017,203:28-37.
[7] LI C H,SUN L,JIA J X,et al. Risk assessment of water pollution sources based on an integrated k-means clustering and set pair analysis method in the region of Shiyan,China[J].Science of the total environment,2016,557:307-316.
[8] WEI C,DAI X Y,YE S F,et al. Prediction analysis model of integrated carrying capacity using set pair analysis[J].Ocean&coastal management,2016,120:39-48.
[9]周戎星,潘争伟,金菊良,等.集对分析相似预测在用水量预测中的应用[J].华北水利水电大学学报(自然科学版),2016,37(6):67-71.
[10] YU F R,QU J H,LI Z P,et al. Application of set pair analysis based on the improved five-element connectivity in the evaluation of groundwater quality in Xuchang,Henan Province,China[J]. Water science&technology water supply,2017,17(3):632-642.
[11]刘永安,王文圣.集对分析法在城市防洪标准方案优选中的应用[J].华北水利水电大学学报(自然科学版),2018,39(1):77-80.
[12]张春英.基于属性图的社交网络建模与态势分析理论研究[D].秦皇岛:燕山大学,2013.
[13]潘争伟,吴成国,金菊良.水资源系统评价与预测的集对分析方法[M].北京:科学出版社,2016.
[14]汪明武,金菊良.联系数理论与应用[M].北京:科学出版社,2017.
[15]毕兆荣,左娅佳.用目标分析最优指标法综合评价医疗工作质量[J].中国医院统计,2003,10(3):152-153.
[16]李辉,金菊良,吴成国,等.基于联系数的安徽省水资源承载力动态诊断评价研究[J].南水北调与水利科技,2018,16(1):42-49.
[17]金菊良,沈时兴,潘争伟,等.水资源集对分析理论与应用研究进展[J].华北水利水电大学学报(自然科学版),2017,38(4):54-66.
[18]李云玲,郭旭宁,郭东阳,等.水资源承载能力评价方法研究及应用[J].地理科学进展,2017,36(3):342-349.
[19]门宝辉,刘焕龙.基于模糊集对分析的京津冀水资源可持续利用评价[J].华北水利水电大学学报(自然科学版),2018,39(4):79-88.
[20]丁晶,覃光华,李红霞.水资源设计承载力的探讨[J].华北水利水电大学学报(自然科学版),2016,37(4):1-6.
[21]金菊良,陈磊,陈梦璐,等.基于集对分析和风险矩阵的水资源承载力评价方法[J].人民长江,2018,49(7):35-41.
[2]金菊良,沈时兴,郦建强,等.基于联系数的区域水资源承载力评价与诊断分析方法[J].华北水利水电大学学报(自然科学版),2018,39(1):1-9.
[3]赵克勤.集对分析及其初步应用[M].杭州:浙江科技出版社,2000.
[4]覃杰,赵克勤.基于偏联系数的医院医疗质量发展趋势综合分析[J].中国医院统计,2007,14(2):127-129.
[5]陆广地,吴宝明,赵克勤.用偏联系数与态势函数对高校评价的聚类分析[J].数学的实践与认识,2015,45(19):50-59.
[6] HOU Z Y,LU W X,XUE H B,et al. A comparative research of different ensemble surrogate models based on set pair analysis for the DNAPL-contaminated aquifer remediation strategy optimization[J]. Journal of contaminant hydrology,2017,203:28-37.
[7] LI C H,SUN L,JIA J X,et al. Risk assessment of water pollution sources based on an integrated k-means clustering and set pair analysis method in the region of Shiyan,China[J].Science of the total environment,2016,557:307-316.
[8] WEI C,DAI X Y,YE S F,et al. Prediction analysis model of integrated carrying capacity using set pair analysis[J].Ocean&coastal management,2016,120:39-48.
[9]周戎星,潘争伟,金菊良,等.集对分析相似预测在用水量预测中的应用[J].华北水利水电大学学报(自然科学版),2016,37(6):67-71.
[10] YU F R,QU J H,LI Z P,et al. Application of set pair analysis based on the improved five-element connectivity in the evaluation of groundwater quality in Xuchang,Henan Province,China[J]. Water science&technology water supply,2017,17(3):632-642.
[11]刘永安,王文圣.集对分析法在城市防洪标准方案优选中的应用[J].华北水利水电大学学报(自然科学版),2018,39(1):77-80.
[12]张春英.基于属性图的社交网络建模与态势分析理论研究[D].秦皇岛:燕山大学,2013.
[13]潘争伟,吴成国,金菊良.水资源系统评价与预测的集对分析方法[M].北京:科学出版社,2016.
[14]汪明武,金菊良.联系数理论与应用[M].北京:科学出版社,2017.
[15]毕兆荣,左娅佳.用目标分析最优指标法综合评价医疗工作质量[J].中国医院统计,2003,10(3):152-153.
[16]李辉,金菊良,吴成国,等.基于联系数的安徽省水资源承载力动态诊断评价研究[J].南水北调与水利科技,2018,16(1):42-49.
[17]金菊良,沈时兴,潘争伟,等.水资源集对分析理论与应用研究进展[J].华北水利水电大学学报(自然科学版),2017,38(4):54-66.
[18]李云玲,郭旭宁,郭东阳,等.水资源承载能力评价方法研究及应用[J].地理科学进展,2017,36(3):342-349.
[19]门宝辉,刘焕龙.基于模糊集对分析的京津冀水资源可持续利用评价[J].华北水利水电大学学报(自然科学版),2018,39(4):79-88.
[20]丁晶,覃光华,李红霞.水资源设计承载力的探讨[J].华北水利水电大学学报(自然科学版),2016,37(4):1-6.
[21]金菊良,陈磊,陈梦璐,等.基于集对分析和风险矩阵的水资源承载力评价方法[J].人民长江,2018,49(7):35-41.