Recent Developments on Fuzzy AHP&ANP Under Vague and Imprecise Data

Abstract

When a decision maker is not sure in assigning a value for a pairwise comparison, he/she should assign a fuzzy value such as ‘between 3 and 4’ or ‘around 5’. These expressions can be represented by fuzzy numbers, which make the use of fuzzy AHP methods possible. Each new fuzzy set extension has caused new fuzzy AHP method to be developed by researchers. INFUS conferences is a scientific arena that the researchers can present their new fuzzy AHP extensions and benefit the discussions during the sessions. This paper summarizes the latest fuzzy AHP/ANP extensions developed in the recent years at INFUS conferences.