模糊决策中常用的规范化方法  

Normalization Methods in Fuzzy Decision Making

作　　者：王胜本[1] 赵黎明[1] 元继学[2] 

机构地区：[1]天津大学管理学院 [2]山东轻工业学院经济管理学院,济南250353

出　　处：《天津大学学报（社会科学版）》2008年第4期294-297,共4页Journal of Tianjin University：Social Sciences

摘　　要：在多属性决策的研究中,规范是决策过程中必不可少的步骤。根据多属性决策属性理论,明确了效益型、成本型、固定型、区间型、偏离型、偏离区间型等六种属性的评价值是表示梯形模糊数时的规范化方法,并同已有的效益型、成本型的规范化方法进行了比较和例证分析。结果表明,常用的六种规范化方法在模糊决策中具有较好的应用价值。Normalization is an essential step in the process of multi-attribute decision making. This paper researches the theory of multi-attribute decision, bringing forward the normalization methods when the evaluation value of the six attributes, that is, benefit-type, cost-type, fixed-type, interzone-type, aberrant-type, and aberrant-interzone-type, are trapezoid fuzzy numbers. In the mean time, this paper compares them with the benefit-type and cost-type normalization methods, demonstrates the normalization methods through examples, and finally concludes that the six normalization methods usually adopted are practical in decision making.

关 键 词：模糊多属性决策 属性的规范化 梯形模糊数 

分 类 号：F270.7[经济管理—企业管理]