基于粒子群算法的模糊层次分析法改进及其应用研究

提出了基于粒子群算法(Particle Swarm Optimization)的模糊层次分析法(Fuzzy Analytic Hierarchy Process)模型,简称PSO-FAHP,将模糊判断矩阵一致性的检验、修正及各元素权重值的计算过程转化成非线性带约束系统优化问题,并利用粒子群算法实现了该问题的求解。构建了制造企业供应商选择评价指标体系,最后将该模型应用于制造企业供应商选择评价,结果表明,此模型能有效帮助企业选择较佳的供应商,对供应链构建有一定的指导意义。

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

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 judgement 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.