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模糊决策中常用的规范化方法
引用本文:王胜本,赵黎明,元继学.模糊决策中常用的规范化方法[J].天津大学学报(社会科学版),2008,10(4):294-297.
作者姓名:王胜本  赵黎明  元继学
作者单位:1. 天津大学管理学院,天津,300072;华北煤炭医学院管理系,唐山,063000
2. 天津大学管理学院,天津,300072
3. 山东轻工业学院经济管理学院,济南,250353
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。

关 键 词:模糊多属性决策  属性的规范化  梯形模糊数

Normalization Methods in Fuzzy Decision Making
WANG Sheng-ben,ZHAO Li-ming,YUAN Ji-xue.Normalization Methods in Fuzzy Decision Making[J].Journal of Tianjin University(Social Sciences),2008,10(4):294-297.
Authors:WANG Sheng-ben  ZHAO Li-ming  YUAN Ji-xue
Institution:WANG Sheng-ben, ZHAO Li-ming, YUAN Ji-xue ( 1. School of Management, Tianjin University, Tianjin 300072, China; 2. School of Management, Northchina Coal Medical University, Tangshan 063000, China; 3. School of Management, Shandong Institute of Light Industry, Jinan 250353, China )
Abstract: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.
Keywords:fuzzy multi-attribute decision making  attribute normalization  trapezoid fuzzy number
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