Fuzzy-AHP based Decision Support Model for Assessing Public Transport Service

Abstract

Service level of transporter should be measured objectively. It functioned to increase the quality level of transportation players’ service and also be operated to make an objective decision by local or central government. By using combination between fuzzy logic and AHP methods, a decision support model for measuring the public transport level was successfully developed. It was finally able to determine the quality of service level for two types of public transport in area Ciputat district in Indonesia.