IS/IT项目选择决策的灰色逼近理想解排序法  

Topsis Method Based on Grey Theory for IS/IT Project Selection

作　　者：高朋[1] 冯俊文[2] 王华亭[3] 

机构地区：[1]南京电子技术研究所科技部,江苏南京210039 [2]南京理工大学经济管理学院,江苏南京210094 [3]清华大学智能技术与系统国家重点实验室,北京100084

出　　处：《数学的实践与认识》2011年第24期84-90,共7页Mathematics in Practice and Theory

基　　金：863高技术研究和发展计划资助项目(KX07301);江苏科协重大软科学资助项目(RS06108)

摘　　要：IS/IT项目选择决策是一个多属性决策问题.针对传统逼近理想解排序法(TOPSIS)在确定属性权重系数上的缺陷,并考虑到在实际IS/IT项目选择决策过程中部分决策信息的不足,提出了基于灰色TOPSIS改进算法.算法运用区间灰数表达指标权重和指标评价值,定义备择项目与正、负理想解的灰色关联度,依此计算各备则项目的贴近度并实现最终排序.仿真实例验证了该方法的合理和有效性.IS/IT project selection is a multi-attribute decision-making （MADM） problem. Aimed to the shortcomings of traditional TOPSIS method for order preference by similarity to solution in calculating the weights and the lack of information during decision making, an improved TOPSIS based on grey theory was applied to the IS/IT project selection process. The weights and ratings were given by interval grey numbers. Then, a：relative closeness was defined to determine the ranking order of all alternatives （IS/IT projects） by calculating the grey relational grade （GRG） of each alternative to the ideal and negative ideal solution simul- taneously. Finally, a real case demonstrates the feasibility and effectiveness of the proposed method.

关 键 词：信息化项目 灰理论 逼近理想解排序法 指标权重 评价值 

分 类 号：C931.1[经济管理—管理学] C934