Prioritization of Automotive Dealers According to Environmental Sustainability Criteria Using Fuzzy EDAS Method

In this chapter, it is aimed to rank the dealers of a company operating in the automotive sector according to their environmental sustainability performances. In this context, Evaluation Based on Distance from Average Solution (EDAS) method, which is one of the Multi-Criteria Decision-Making (MCDM) methods, was used in combination with fuzzy logic to determine the rankings of dealers. The EDAS method considers the average solution for the selection of the best alternative. The EDAS method, which evaluates the negative and positive distances of the alternatives from the average solution, is an effective method because it can rank the alternatives according to two different reference points. The reason for considering EDAS together with fuzzy logic is modeling uncertainties in the measurement values of different criteria that affect the environmental sustainability performance levels of dealers and to reflect this uncertainty to the dealers’ priorities. In the application process of the fuzzy EDAS (F-EDAS) method, seven environmental sustainability performance criteria were considered to evaluate nine predetermined dealers. Thus, the dealers with the highest and lowest environmental sustainability performance were determined. Additionally, aspects of dealers that need improvement to advance their environmental sustainability performance were also evaluated.