Possibilistic decision-making approaches

被引：0
|
作者：
Guo, Peijun [1 ]
机构：
[1] Yokohama Natl Univ, Fac Business Adm, Yokohama, Kanagawa 2408501, Japan
来源：
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS AND KNOWLEDGE ENGINEERING (ISKE 2007) | 2007年
关键词：
decision analysis; possibility theory; newsvendor problem;
D O I：
10.2991/iske.2007.88
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, decision-making approaches with partially known information characterized by possibility distributions are proposed. Five kinds of criteria are provided for evaluating the alternatives. Based on the proposed possibilistic decision approaches, a newsvendor problem is analyzed.
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