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 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.