灰色关联分析与云模型集成的方案评价方法
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摘要
针对传统方案评价方法中大多没有考虑评价信息随机性的情况,运用云模型建立云评价标度。针对传统客观属性权重确定方法主要依据属性值分布,没有考虑到指标间的相互影响关系的问题,将熵值法和DEMATEL结合计算指标权重,其中采用云距离测度算法直接计算定性评价间的距离,避免了定性云转换为定量值时的信息损失。采用灰色关联分析处理云评价指标,对方案进行排序。利用方案总体云评价绘制云图,定性比较各方案优劣。最后以实例验证了所提方法的有效性。
Aiming at most of the traditional evaluation methods do not consider the randomness of the evaluation information,this paper used the cloud model to establish the cloud evaluation scale.The traditional approaches calculate objective attributes weight mainly according to the distribution of attributes value and do not consider the relationship between the attributes.This paper combined entropy method and DEMATEL to calculate the weight of the attributes.And it used cloud distance measure algorithm to calculate the distance between the qualitative evaluation.It could avoid the loss of information.This paper used gray incidence analysis to process the cloud evaluation attributes,and sorted the scheme.Using the overall cloud of the scheme to draw the cloud map,this paper qualitatively compared the quality of each scheme.Finally,it gave out an application example to demonstrate the effectiveness of the proposed approach.
Aiming at most of the traditional evaluation methods do not consider the randomness of the evaluation information,this paper used the cloud model to establish the cloud evaluation scale.The traditional approaches calculate objective attributes weight mainly according to the distribution of attributes value and do not consider the relationship between the attributes.This paper combined entropy method and DEMATEL to calculate the weight of the attributes.And it used cloud distance measure algorithm to calculate the distance between the qualitative evaluation.It could avoid the loss of information.This paper used gray incidence analysis to process the cloud evaluation attributes,and sorted the scheme.Using the overall cloud of the scheme to draw the cloud map,this paper qualitatively compared the quality of each scheme.Finally,it gave out an application example to demonstrate the effectiveness of the proposed approach.
引文
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[14]Baykasoglu A,Kaplanoglu V,Durmusoglu Z D U,et al.Integrating fuzzy DEMATEL and fuzzy hierarchical TOPSIS methods for truck selection[J].Expert Systems with Applications,2013,40(3):899-907.
[15]张莉,冯定忠,王林军.产品关键特性的识别过程与分解方法[J].中国机械工程,2013,24(15):2025-2030.
[16]刘思峰,蔡华,杨英杰,等.灰色关联分析模型研究进展[J].系统工程理论与实践,2013,33(8):2041-2046.
[17]穆瑞,张家泰.基于灰色关联分析的层次综合评价[J].系统工程理论与实践,2008,28(10):125-130.
[18]李鹏,刘思峰.基于灰色关联分析和D-S证据理论的区间直觉模糊决策方法[J].自动化学报,2011,37(8):993-998.
[19]Celikbilek Y,Tüysüz F.An integrated grey based multi-criteria decision making approach for the evaluation of renewable energy sources[J].Energy,2016,115(9):1246-1258.
[20]Su Chunmei,Horng D J,Tseng M L,et al.Improving sustainable supply chain management using a novel hierarchical grey-DEMATEL approach[J].Journal of Cleaner Production,2016,134(5):469-481.
[21]黄国庆,王明绪,王国良.效能评估中的改进熵值法赋权研究[J].计算机工程与应用,2012,48(28):245-248.
[2]刘文生,吴作启,崔铁军.基于三角模糊数的AHP-TOPSIS村庄下开采接续方案优选方法研究[J].计算机应用研究,2016,33(2):458-461.
[3]林晓华,冯毅雄,谭建荣,等.基于改进DEMATEL-VIKOR混合模型的产品概念方案评价[J].计算机集成制造系统,2011,17(12):2552-2561.
[4]Tiwari V,Jain P K,Tandon P.Product design concept evaluation using rough sets and VIKOR method[J].Journal Advanced Engineering Informatics,2016,30(1):16-25.
[5]Shidpour H,Cunha C D,Bernard A.Group multi-criteria design concept evaluation using combined rough set theory and fuzzy set theory[J].Expert Systems with Applications,2016,64(8):633-644.
[6]李莎莎,崔铁军,马云东.基于云模型和SFT的可靠性数据不确定性评价[J].计算机应用研究,2017,34(12):3656-3659.
[7]杨本臣,王翠琴.P2P中基于云模型和灰色系统理论的信任机制研究[J].计算机应用研究,2016,33(1):276-280.
[8]金璐,覃思义.基于云模型间贴近度的相似度量法[J].计算机应用研究,2014,31(5):1308-1311.
[9]赵坤,高建伟,祁之强,等.基于前景理论及云模型风险型多准则决策方法[J].控制与决策,2015,30(3):395-402.
[10]刘玒玒,汪妮,解建仓,等.基于熵权法的城市生态系统健康模糊评价[J].武汉大学学报:工学版,2014,47(6):755-759.
[11]申毅荣,解建仓.基于熵权和TOPSIS法的水安全模糊物元评价模型研究及其应用[J].系统工程,2014,32(7):143-148.
[12]任政亮,徐飞.基于修正熵权算法的信息披露质量评价[J].计算机应用研究,2014,31(5):1437-1440,1444.
[13]Asad M M,Mohammadi V,Shirani M.Modeling flexibility capabilities of it-based supply chain,using a grey-based DEMATEL method[J].Procedia Economics and Finance,2016,36(3):220-231.
[14]Baykasoglu A,Kaplanoglu V,Durmusoglu Z D U,et al.Integrating fuzzy DEMATEL and fuzzy hierarchical TOPSIS methods for truck selection[J].Expert Systems with Applications,2013,40(3):899-907.
[15]张莉,冯定忠,王林军.产品关键特性的识别过程与分解方法[J].中国机械工程,2013,24(15):2025-2030.
[16]刘思峰,蔡华,杨英杰,等.灰色关联分析模型研究进展[J].系统工程理论与实践,2013,33(8):2041-2046.
[17]穆瑞,张家泰.基于灰色关联分析的层次综合评价[J].系统工程理论与实践,2008,28(10):125-130.
[18]李鹏,刘思峰.基于灰色关联分析和D-S证据理论的区间直觉模糊决策方法[J].自动化学报,2011,37(8):993-998.
[19]Celikbilek Y,Tüysüz F.An integrated grey based multi-criteria decision making approach for the evaluation of renewable energy sources[J].Energy,2016,115(9):1246-1258.
[20]Su Chunmei,Horng D J,Tseng M L,et al.Improving sustainable supply chain management using a novel hierarchical grey-DEMATEL approach[J].Journal of Cleaner Production,2016,134(5):469-481.
[21]黄国庆,王明绪,王国良.效能评估中的改进熵值法赋权研究[J].计算机工程与应用,2012,48(28):245-248.