Fuzzy decision making for fuzzy random multiobjective linear programming problems with variance covariance matrices

被引：8
|
作者：
Yano, Hitoshi [1 ]
机构：
[1] Nagoya City Univ, Sch Humanities & Social Sci, Mizuho Ku, Nagoya, Aichi 4678501, Japan
来源：
INFORMATION SCIENCES | 2014年 / 272卷
基金：
日本学术振兴会;
关键词：
Fuzzy random multiobjective linear programming; A probability maximization model; A fractile optimization model; Fuzzy decision; Variance covariance matrices; RANDOM-VARIABLES; MODEL; UNCERTAINTY; MANAGEMENT;
D O I：
10.1016/j.ins.2014.02.101
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We focus on fuzzy random multiobjective linear programming problems with variance covariance matrices, and propose a fuzzy decision making method to obtain a satisfactory solution. In the proposed method, it is assumed that the decision maker has fuzzy goals for both permissible levels and the corresponding objective functions for a probability maximization model or a fractile optimization model, and that such fuzzy goals are quantified by eliciting the corresponding membership functions. The satisfactory solution based on the fuzzy decision is obtained using the bisection method and the convex programming technique. (C) 2014 Elsevier Inc. All rights reserved.
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页码：111 / 125
页数：15
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