Modality of Particle Swarm Optimization to Improve Decision Making Process of Analytical Hierarchy Processing *

AHP has been widely used in various real world applications. Numerous decision making process involves the use of pair-wise comparison matrix of AHP, and consistency ration is the most key issue related with AHP. In this research work, Particle Swarm Optimization algorithm is employed to reduce the consistency ratio of decision making process Analytical Hierarchy Process (AHP). The aim of proposed method is to reduce the CR. Consistency evaluation of AHP have been studied in literature since from 70's. The reported methods are quite complicated and difficult. Many methods could not maintain the original judgment provided by domain expert. We have presented a very simple and yet effective method to minimize of consistency ratio (almost zero) which will also preserves the domain expert's opinion. The robustness of proposed method is presented by applying it to real world case study. The experimentation shows that the proposed method is efficient and accurate to satisfy the consistency requirements of AHP.