Weighted Linear Fractional Programming for Possibilistic Multi-objective Problem

被引：1
|
作者：
Arbaiy, Nureize [1 ]
机构：
[1] Univ Tun Hussein Onn Malaysia, Batu Pahat 86400, Malaysia
来源：
COMPUTATIONAL INTELLIGENCE IN INFORMATION SYSTEMS | 2015年 / 331卷
关键词：
Weighting method; Multi-objective problem; Possibilistic Programming; Linear fractional; FUZZY; OPTIMIZATION;
D O I：
10.1007/978-3-319-13153-5_9
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The assessment of the weights of objective function plays an important role in a multi-objective process. This paper discusses a weighting method for linear fractional programming to solve possibilistic programming of the multi-objective decision-making problem. The minimal and maximal values of the objective function are utilized in the determination the weight value. This analysis concludes that it is worthwhile to pursue proposed solution approach to the multi-objective evaluation scheme, which addresses some limitation to determine the weight values.
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页码：85 / 94
页数：10
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