摘要
为了解决层次分析法在供应链绩效评价权重确定中存在的不足,提出了一种基于粒子群算法(Particle Swarm Optimization)的模糊层次分析法(Fuzzy Analytic Hierarchy Process),简称PSO-FAHP。PSO-FAHP将模糊判断矩阵一致性的检验、修改和元素权重值的计算转化成了非线性约束优化问题,并用粒子群算法实现了问题的求解。在建立供应链绩效评价指标体系的基础上,运用改进的模糊层次分析法确定各评价指标的权重。
In order to solve the shortage of analytic hierarchy process in the supply chain performance evaluation to determine the weights,this paper proposed fuzzy analytic hierarchy process( FAHP) based on particle swarm optimization( PSO)called PSO- FAHP. It transformed the consistency modified and element ranking alternative of fuzzy judgment matrix into an optimization problem for nonlinear constrained system,and made use of particle swarm optimization to solve it. This paper applies PSO- FAHP to determine the weights of evaluation indexes based on the establishment of evaluation indexes system of supply chain performance.
出处
《物流工程与管理》
2015年第1期126-128,共3页
Logistics Engineering and Management
关键词
权重
粒子群算法
模糊层次分析法
供应链绩效评价
weight
particle swarm optimization
fuzzy analytic hierarchy process
evaluation indexes system of supply chain performance