Title :
Improvement of fuzzy analytic hierarchy process based on particle swarm optimization and its application research
Author :
Zhuang-kuo Li ; You-tian Xue ; Yan-nan Ma
Author_Institution :
Sch. of Bus., Guilin Univ. of Electron. Technol., Guilin, China
Abstract :
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.
Keywords :
analytic hierarchy process; fuzzy set theory; matrix algebra; nonlinear programming; particle swarm optimisation; supply chain management; PSO-FAHP model; application research; evaluation index system; fuzzy analytic hierarchy process; fuzzy judgment matrix; manufacturing enterprises venders evaluation; manufacturing enterprises vendors selection; nonlinear constrained system; particle swarm optimization; supply chain; Analytic hierarchy process; Equations; Indexes; Manufacturing; Mathematical model; Particle swarm optimization; Production; fuzzy analytic hierarchy process; manufacturing enterprises; particle swarm optimization; venders selection evaluation;
Conference_Titel :
Management Science and Engineering (ICMSE), 2012 International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4673-3015-2
DOI :
10.1109/ICMSE.2012.6414213
