托普西斯
妥协
维柯法
理想溶液
亲密度
多准则决策分析
数学优化
规范化(社会学)
后悔
数学
计算机科学
线性规划
运筹学
排名(信息检索)
统计
人工智能
社会科学
数学分析
物理
社会学
人类学
热力学
作者
Serafim Opricović,Gwo‐Hshiung Tzeng
标识
DOI:10.1016/s0377-2217(03)00020-1
摘要
The multiple criteria decision making (MCDM) methods VIKOR and TOPSIS are based on an aggregating function representing ‘‘closeness to the ideal’’, which originated in the compromise programming method. In VIKOR linear normalization and in TOPSIS vector normalization is used to eliminate the units of criterion functions. The VIKOR method of compromise ranking determines a compromise solution, providing a maximum ‘‘group utility’’ for the ‘‘majority’’ and a minimum of an individual regret for the ‘‘opponent’’. The TOPSIS method determines a solution with the shortest distance to the ideal solution and the greatest distance from the negative-ideal solution, but it does not consider the relative importance of these distances. A comparative analysis of these two methods is illustrated with a numerical example, showing their similarity and some differences. � 2003 Elsevier B.V. All rights reserved.
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