基于变异系数的修正G2赋权方法及实证
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摘要
为了避免组合赋权法中组合系数无法科学分配的难题,文章首先利用各评价指标与最不重要评价指标的变异系数之比代替人为给出两评价指标重要性程度之比的理性点赋值,构造了基于变异系数的修正G2点赋值权重计算方法;其次,利用各评价指标与最不重要指标的变异系数置信区间的上下限之比代替人为确定其重要性程度之比的理性赋值区间,构造了基于变异系数的修正G2区间赋值权重计算方法;最后,以吉林省"五化"协调发展为例进行了实证分析。
In order to avoid the problem that combination coefficient cannot be scientifically assigned in the combinatorial weighting method,this paper firstly uses the ratio of the coefficient of variation of each evaluation index to the least important evaluation index to replace the rational point assignment of the ratio of the importance degree of two artificial evaluation indexes,presenting a modified-G2 point weighting method based on coefficient of variation.And then by using the ratio of the upper and lower limits of the confidence interval of the coefficient of variation between each evaluation index and the least important index to replace the rational value interval of determining the ratio of its importance degree artificially,a modified G2 interval weight calculation method is established based on the coefficient of variation.Finally,the paper takes the "five-aspect" coordinated development of Jilin Province as an example to make an empirical analysis.
In order to avoid the problem that combination coefficient cannot be scientifically assigned in the combinatorial weighting method,this paper firstly uses the ratio of the coefficient of variation of each evaluation index to the least important evaluation index to replace the rational point assignment of the ratio of the importance degree of two artificial evaluation indexes,presenting a modified-G2 point weighting method based on coefficient of variation.And then by using the ratio of the upper and lower limits of the confidence interval of the coefficient of variation between each evaluation index and the least important index to replace the rational value interval of determining the ratio of its importance degree artificially,a modified G2 interval weight calculation method is established based on the coefficient of variation.Finally,the paper takes the "five-aspect" coordinated development of Jilin Province as an example to make an empirical analysis.
引文
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[15]王星,褚挺进.非参数统计(第二版)[M].北京:清华大学出版社,2014.
[2]郭亮,于渤.动态视角下企业技术集成能力评价研究——基于AHP-模糊TOPSIS法[J].科研管理,2013,34(12).
[3]王恩旭,吴荻,匡海波.基于标准离差-G1-DEA的旅游机场竞争力与效率差异性评价的对比研究[J].科研管理,2016,37(2).
[4]郭亚军.综合评价理论、方法及应用[M].北京:科学出版社,2007.
[5]宋彦荣,张宝元.基于地区现代化评价的客观赋权法比较[J].统计与决策,2015,(11).
[6]迟国泰,李刚,程砚秋.基于AHP-标准离差的人的全面发展评价模型及其实证研究[J].管理学报,2010,7(2).
[7]李刚,程砚秋,董霖哲,王文君.基尼系数客观赋权方法研究[J].管理评论,2014,26(1).
[8]杨力,刘程程,宋利,盛武.基于熵权法的煤矿应急救援能力评价[J].中国软科学,2013,28(11).
[9]迟国泰,陈洪海.基于信息敏感性的指标筛选与赋权方法研究[J].科研管理,2016,37(1).
[10]迟国泰,李战江.基于主成分——熵的评价指标体系信息贡献模型[J].科研管理,2014,35(12).
[11]迟国泰,祝志川,张玉玲.基于熵权-G1法的科技评价模型及实证研究[J].科学学研究,2008,26(12).
[12]蒋诗泉,刘思峰,刘中侠,方志耕.基于“功能驱动”和“差异驱动”原理的灰关联贴近度决策方法[J].控制与决策,2016,31(1).
[13]王先甲,张熠.基于AHP和DEA的非均一化灰色关联方法[J].系统工程理论与实践,2011,31(7).
[14]李刚.基于标准差修正群组G1的组合赋权方法研究[J].系统工程学报,2012,27(1).
[15]王星,褚挺进.非参数统计(第二版)[M].北京:清华大学出版社,2014.