Improvement of Fuzzy Analytic Hierarchy Process Based on Particle Swarm Optimization and Its Application Research

被引：0
作者：
Li Zhuang-kuo [1 ]
Xue You-tian [1 ]
Ma Yan-nan [1 ]
机构：
[1] Guilin Univ Elect Technol, Sch Business, Guilin 541004, Peoples R China
来源：
2012 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE & ENGINEERING | 2012年
关键词：
particle swarm optimization; fuzzy analytic hierarchy process; manufacturing enterprises; venders selection evaluation;
D O I：
暂无
中图分类号：
C93 [管理学]; O22 [运筹学];
学科分类号：
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要：
This paper proposed a model of fuzzy analytic hierarchy process(FAHP) based on particle swarm optimization(PSO) called PSO-FAHP. It transformed the consistency modified and elements ranking alternative of fuzzy judgment matrix into an optimization problem for nonlinear constrained system, and made use of particle swarm optimization to solve it. Finally, it built a evaluation index system for manufacturing enterprises' vendors selection and applied the PSO-FAHP model to manufacturing enterprises' venders selection and evaluation. The results show that this model can effectively help companies choose better venders and have certain guiding significance for building the supply chain.
引用
收藏
页码：403 / 407
页数：5
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