ANALYSIS OF THE FACTORS AFFECTING PERFORMANCE EVALUATION OF BRANCHES IN A CARGO COMPANY BY USING HESITANT FUZZY AHP

Abstract

One of the important points in performance measurement and evaluation is determining the relative importance of the metrics used. The aim of this study is to present a fuzzy multi-criteria decision making (MCDM) approach for evaluating the factors used for performance evaluation. Hesitant fuzzy sets (HFSs) based Analytic Hierarchy Process (AHP) method, which is an effective and successful approach to deal with uncertainty, is presented for analyzing the factors affecting the performance of the branches of a cargo company in Turkey and also for prioritizing them according to their level of importance.