Solving Multi-criteria Decision Problems under Possibilistic Uncertainty Using Optimistic and Pessimistic Utilities

被引：0

作者：

Ben Amor, Nahla ^{[1
]}

Essghaier, Fatma ^{[1
,2
]}

Fargier, Helene ^{[2
]}

机构：

[1] Inst Super Gest Tunis, LARODEC, Tunis, Tunisia

[2] Univ Toulouse, CNRS, IRIT, UMR 5505, Toulouse, France

来源：

INFORMATION PROCESSING AND MANAGEMENT OF UNCERTAINTY IN KNOWLEDGE-BASED SYSTEMS, PT III | 2014年 / 444卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper proposes a qualitative approach to solve multicriteria decision making problems under possibilistic uncertainty. Depending on the decision maker attitude with respect to uncertainty (i.e. optimistic or pessimistic) and on her attitude with respect to criteria (i.e. conjunctive or disjunctive), four ex-ante and four ex-post decision rules are defined and investigated. In particular, their coherence w.r.t. the principle of monotonicity, that allows Dynamic Programming is studied.

引用

页码：269 / 279

页数：11

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