Recent Developments on Fuzzy AHP and ANP Under Vague and Imprecise Data: Evidence from INFUS Conferences

Abstract

When a decision maker is not sure about 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 a new fuzzy AHP method to be developed by researchers. The INFUS conference is a scientific arena where researchers can present their new fuzzy AHP extensions and benefit from the discussions during the sessions. This paper summarizes the latest fuzzy AHP/ANP extensions that have been developed in the recent years at INFUS conferences.