A Cosine Similarity Measure based Ranking of Priority Vectors in Fuzzy Preference Relation

Abstract

For a Pairwise Comparison Matrix (PCM), it is essential to derive a reliable priority vector collected from group of decision makers. Even though there are many prioritization methods available in literature, no method is proved as the best one to derive the best ranking of the priority vectors. In this chapter, the prioritization method on Cosine Similarity Measure (CSM) [3] is used to find the ranking of the priority vectors of a fuzzy preference relation which gives comparatively closure result with the other methods and to check the consistency of them.