出版社：International Association for Computer Information Systems
摘要：Analytic Hierarchy Process (AHP) is a powerful quantitative measurement method in the multi-criteria decision making (MCDM) area. It has been used in banks, manufacturing systems, organizational perform ance evaluation, and project selection. Despite this widespread usage, many studies argue that rank reversal phenomenon is unpreventable when any AHP method is applied. This paper presents that the rank reversal occurs in other popular MCDM approaches as well, such as Borda-Kendall(BK), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and the simple additive weighting (SAW) approaches. Foravoiding rank reversal phenomenon in decision matrices where such reversals should not take place, this paper attem pts to illustrate that the proposed least common multiple (LCM) approach successfully addresses these rank reversal problemsin mostpopularMCDM approachesin decision support system s area
