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基于权重最小变化量的参数敏感性分析
引用本文:蒋艳,陈荣秋. 基于权重最小变化量的参数敏感性分析[J]. 武汉理工大学学报(信息与管理工程版), 2005, 27(1): 165-167
作者姓名:蒋艳  陈荣秋
作者单位:华中科技大学,管理学院,湖北,武汉,430074
基金项目:教育部博士后基金资助项目(2003033467).
摘    要:通过引入权重最小变化量和敏感性系数等概念,研究了多目标决策中参数变化导致结果变化的临界条件,给出了方案排序对权重变化的敏感性分析方法,并通过一个实例进行了说明。

关 键 词:多属性决策  权重  最小变化量  敏感性系数
文章编号:1007-144X(2005)01-0165-03
修稿时间:2004-09-22

Parameter Sensitivity Analysis Based on the Least Variance of Weights
Jiang Yan,Chen Rongqiu Jiang Yan: Postdoctoral, School of Management,HUST,Wuhan ,China.. Parameter Sensitivity Analysis Based on the Least Variance of Weights[J]. Journal of Wuhan University of Technology(Information & Management Engineering), 2005, 27(1): 165-167
Authors:Jiang Yan  Chen Rongqiu Jiang Yan: Postdoctoral   School of Management  HUST  Wuhan   China.
Affiliation:Jiang Yan,Chen Rongqiu Jiang Yan: Postdoctoral, School of Management,HUST,Wuhan 430074,China.
Abstract:The concepts of the least variance of weights and sensitivity coefficients are introduced. The critical conditions of result changes caused by variance change in multi-objective decision-making are studied. A weight sensitivity analysis method is proposed and an example is given to illustrate this method.
Keywords:multi-attribute decision-making  weights  the least variance  sensitivity coefficient
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