APPLICATION OF ENTROPY SUPPORTED COPRAS METHOD IN ELECTRIC VEHICLE SELECTION
DOI:
https://doi.org/10.15659/3.sektor-sosyal-ekonomi.24.09.2406Keywords:
Multi-Criteria Decision Making, Electric Vehicle, Arrangement, ENTROPI, COPRASAbstract
With increasing environmental awareness, individuals and countries have begun to act more sensitively to protect the environment and pass it on to future generations. In this context, various measures have been taken to minimize the damage that fossil fuel vehicles cause to the environment. First, policies have been produced to restrict diesel engines, which harm the environment more than gasoline. However, since this alone cannot reduce carbon emissions, zero-emission vehicles have been preferred, and thus electric vehicles have started to become more on the agenda of the whole world. As a result of this process, the popularity of electric vehicles has been rapidly increasing in recent years, and many companies are producing electric vehicle models and offering them to the market. Since the electric vehicle market is new, users experience serious confusion about which brand and model to choose and which criteria to consider when choosing a vehicle. The aim of this study is to help users rank electric vehicles using the CORPAS method supported by ENTROPI, one of the multi-criteria decision-making techniques. When the literature is examined, although there are many studies on vehicle demand in the world and in our country, the number of studies specifically on electric vehicle selection is extremely limited. This study will contribute to the elimination of this deficiency in the literature and will be one of the first studies conducted in this field using the COPRAS method. Within the scope of the study, the 7 most sold electric vehicles in Turkey in February 2024 were determined as alternatives. The criteria were determined interviews with market representatives and individuals considering purchasing electric vehicles. According to the criteria discussed as a result of the study, the Hyundai IONIQ 6 model was determined as the best alternative.