Application of Hexagonal Fuzzy MCDM Methodology for Site Selection of Electric Vehicle Charging Station

Arijit Ghosh, Neha Ghorui, Sankar Prasad Mondal, Suchitra Kumari, Biraj Kanti Mondal, Aditya Das and Mahananda Sen Gupta
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Arijit Ghosh: Department of Mathematics, St. Xavier’s College (Autonomous), Kolkata 700016, India
Neha Ghorui: Department of Mathematics, Prasanta Chandra Mahalanobis Mahavidyalaya, Kolkata 700108, India
Sankar Prasad Mondal: Department of Applied Science, Maulana Abul Kalam Azad University of Technology, West Bengal, Haringhata 741249, India
Suchitra Kumari: Department of Commerce, St. Xavier’s College (Autonomous), Kolkata 700016, India
Biraj Kanti Mondal: Department of Geography, Netaji Subhas Open University, Kolkata 700016, India
Aditya Das: Department of Commerce, University of Calcutta, Kolkata 700073, India
Mahananda Sen Gupta: Department of Commerce, St. Xavier’s College (Autonomous), Kolkata 700016, India

Mathematics, 2021, vol. 9, issue 4, 1-27

Abstract: In this paper, the application of hexagonal fuzzy multiple-criteria decision-making (MCDM) methodology for the site selection of electric vehicle charging stations is considered. In this regard, four factors and thirteen sub-factors have been taken into consideration for E-vehicle charging site selection. In this research, the geographic information system (GIS) has been incorporated with MCDM techniques. The fuzzy analytic hierarchy process (FAHP) is used to obtain a fuzzy weight of factors and sub-factors. MCDM tools fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS) and fuzzy complex proportional assessment (FCOPRAS) have been used to rank the selected sites. A centroid-based method for defuzzification and distance measure between two hexagonal fuzzy numbers (HFN) has been developed for this paper. A practical example in Howrah, India, is considered to show the applicability and usefulness of the model. The results depict the suitability of the proposed research. Comparative and sensitivity analyses have been demonstrated to check the reliability, robustness and effectiveness of the proposed method.

Keywords: site selection; FAHP; FTOPSIS; FCOPRAS; hexagonal fuzzy number (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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