This paper presents a method using multiobjective particle swarm optimization (PSO) approach to improve the consistency matrix\nin analytic hierarchy process (AHP), called PSOM OF. The purpose of this method is to optimize two objectives which conflict each\nother, while improving the consistency matrix. They are minimizing consistent ratio (CR) and deviation matrix. This study focuses\non fuzzy preference matrix as one model comparison matrix in AHP. Some inconsistent matrices are repaired successfully to be\nconsistent by this method. This proposed method offers some alternative consistent matrices as solutions.
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