Fuzzy Goal Programming Approach to Multi Objective Quadratic Programming Problem

被引：0
|
作者：
Kailash Lachhwani
机构：
[1] Government Engineering College,Department of Mathematics
来源：
Proceedings of the National Academy of Sciences, India Section A: Physical Sciences | 2012年 / 82卷
关键词：
Multi criteria decision analysis; Multiple objective programming; Goal programming; Quadratic programming; Utility function;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper presents a fuzzy goal programming (FGP) procedure for multi objective quadratic programming problem. In the FGP model formulation, firstly the objectives are transformed into fuzzy goals (membership functions) by means of assigning an aspiration level to each of them and suitable membership function is defined for each objectives. Then achievement of the highest membership value of each of fuzzy goals is formulated by minimizing the negative deviational variables. The proposed methodology and its efficiency over traditional utility function approach are illustrated by the numerical examples.
引用
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页码：317 / 322
页数：5
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