IMPLEMENTATION OF FUZZY ANALYTICAL NETWORK PROCESS IN PRIORITIZING TRANSPORTATION PROBLEM

Abstract

The main goal of this research is to help decision-makers in prioritizing transportation problems. Although numerous criteria were identified, the critical problems of transportation are less investigated. To fill this gap, this study was carried out to prioritizing the critical problems of transportation. The approach developed in this study implements fuzzy Analytical Network Process (FANP) to determine the weight for transportation problem criteria and sub-criteria. As a result, the highest rank sub-criteria was identified, which is "Professionalism" (0.203), followed by "Personal vehicle preferences" (0.190) and "E-ticket" (0.145). Although prioritize transportation problems were identified, future research needed to develop alternative strategies for developing transportation improvement strategies.