A New Fuzzy Decision-Making Model for Enhancing Electric Vehicle Charging Infrastructure

Serkan Eti; Hasan Dinçer; Serhat Yüksel; Yaşar Gökalp

doi:10.31181/sdmap21202513

Authors

Serkan Eti IMU Vocational School, İstanbul Medipol University, İstanbul Turkey Author https://orcid.org/0000-0002-4791-4091
Hasan Dinçer The School of Business, İstanbul Medipol University, İstanbul Turkey Author https://orcid.org/0000-0002-8072-031X
Serhat Yüksel The School of Business, İstanbul Medipol University, İstanbul Turkey Author https://orcid.org/0000-0002-9858-1266
Yaşar Gökalp The School of Health, İstanbul Medipol University, İstanbul Turkey Author https://orcid.org/0000-0002-3390-4597

DOI:

https://doi.org/10.31181/sdmap21202513

Keywords:

Electric vehicles, Charging, Fuzzy logic, Decision-making

Abstract

Electric vehicles are very important for the country's economy. Thanks to the use of these vehicles, both environmental and economic benefits can occur for countries. However, there are some problems that prevent the development of electric vehicles. The inadequacy of charging stations is one of the most important problems in this process. This problem prevents the preference of electric vehicles. Therefore, a comprehensive analysis is required to solve this problem. Accordingly, this study aims to determine strategy suggestions that will increase the effectiveness of charging stations for electric vehicles. To achieve this goal, a new decision-making model is proposed in this study. In this model, multi-criteria decision-making techniques are integrated with fuzzy logic. The findings indicate that technological improvements play the most crucial role to increase the effectiveness of these investments. Similarly, increasing charging stations has also a positive influence for this situation.

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References

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