Decision aiding model with entropy-based subjective utility

被引:9
|
作者
Aggarwal, Manish [1 ]
机构
[1] Indian Inst Management Ahmedabad, Ahmadabad, Gujarat, India
关键词
INFORMATION; ELICITATION; OPTIMIZATION; UNCERTAINTY;
D O I
10.1016/j.ins.2018.08.063
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
An entropy-based method is presented to model a decision-maker's (DM's) subjective utility for a criterion value. The proposed method considers distribution of all the values that the criterion takes for the given set of alternatives. Based on the utility so modeled, and and the DM's attitudinal character, a multi criteria decision aiding (MCDA) approach is developed to find the best alternative. The proposed method and the approach are applied in a real car selection case-study. (C) 2018 Elsevier Inc. All rights reserved.
引用
收藏
页码:558 / 572
页数:15
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