Risk and confidence analysis for fuzzy multicriteria decision making

被引：101

作者：

Fenton, Norman ^{[1
]}

Wang, Wei ^{[1
]}

机构：

[1] Queen Mary Univ London, Risk Anal & Decis Res Grp, Dept Comp Sci, London E1 4NS, England

来源：

KNOWLEDGE-BASED SYSTEMS | 2006年 / 19卷 / 06期

关键词：

multicriteria decision making; triangular fuzzy numbers; linguistic variables;

D O I：

10.1016/j.knosys.2006.03.002

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Recent research has recognised that multicriteria decision making (MCDM) should take account of uncertainty, risk and confidence. This paper takes this research forward by using linguistic variables and triangular fuzzy numbers to model the decision maker's (DM) risk and confidence attitudes in order to define a more complete MCDM solution. To illustrate the computation process and demonstrate the feasibility of the results we use a travel problem that has been used previously to assess MCDM techniques. The results show that the method is useful for tackling imprecision and subjectivity in complex, ill-defined and human-oriented decision problems. (c) 2006 Elsevier B.V. All rights reserved.

引用

页码：430 / 437

页数：8

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