Multiple criteria decision making with generalized DEA and an aspiration level method

被引：25
|
作者：
Yun, YB
Nakayama, H
Arakawa, M
机构：
[1] Kagawa Univ, Fac Engn, Dept Reliabil Based Informat Syst Engn, Kagawa 7610396, Japan
[2] Konan Univ, Fac Sci & Engn, Kobe, Hyogo 6588501, Japan
来源：
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH | 2004年 / 158卷 / 03期
关键词：
generalized data envelopment analysis; aspiration level method; multiple criteria decision making; Pareto optimal solutions; robust design;
D O I：
10.1016/S0377-2217(03)00375-8
中图分类号：
C93 [管理学];
学科分类号：
12 ; 1201 ; 1202 ; 120202 ;
摘要：
In this paper, we suggest an aspiration level approach using generalized data envelopment analysis (GDEA) and genetic algorithms (GA) in multiple criteria decision making such as engineering design problems. It will be shown that several Pareto optimal solutions close to an aspiration level of decision maker can be listed up as candidates of a final decision making solution by the proposed method. Through the robust design problem, it will be proved also that the aspiration level method using GDEA is useful for supporting a decision making of complex system. (C) 2003 Elsevier B.V. All rights reserved.
引用
收藏
页码：697 / 706
页数：10
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