ItemArticle

Hesitant bipolar fuzzy set-based decision system for electric vehicle charging station location planning

Title
Hesitant bipolar fuzzy set-based decision system for electric vehicle charging station location planning
Creator
Thilagasree, Chakkarapani Sumathi; Jayakumar, Thippan; Ramya, Lakshmanaraj; Suvitha, Krishnan; Pamucar, Dragan; Pedrycz, Witold; Kureethara, Joseph Varghese
Description
The selection of electric vehicle (EV) charging station locations is a critical challenge that significantly affects the growth and acceptance of the EV industry. As EVs offer a sustainable solution to fossil fuel depletion and environmental pollution, identifying optimal charging station sites involves dealing with uncertain, inconsistent, and conflicting criteria. To address these challenges, this paper presents an innovative decision-making framework based on Hesitant Bipolar-Valued Fuzzy Sets (HBVFSs), which account for both positive and negative hesitant membership values to better model uncertainty in expert judgments. A novel hybrid Multi-Criteria Decision-Making (MCDM) technique is proposed, combining the Step-wise Weight Assessment Ratio Analysis (SWARA) and Pivot Pairwise Relative Criteria Importance Assessment (PIPRECIA) methods to determine robust criteria weights within the HBVFS environment. The Preference Ranking Organization METHod for Enrichment Evaluation II (PROMETHEE-II) is employed for the final site ranking. This integrated approach enables a more comprehensive and reliable evaluation of potential locations by incorporating both qualitative and quantitative factors. The proposed methodology has practical applications in real-world infrastructure planning and supports more resilient decision-making in sustainable transportation networks. The results demonstrate the model's effectiveness and adaptability in addressing the site selection problem under uncertainty. 2025 Elsevier Ltd
Source
Sustainable Energy, Grids and Networks;Volume;43;Issue;;Article No.;101756;
Date
01-01-2025
Publisher
Elsevier Ltd
Subject
Bipolar fuzzy set; Electric vehicle; Hesitant fuzzy set; Multi-criteria decision-making; Site selection
Coverage
Thilagasree C.S., Department of Mathematics, Sri Ramakrishna Mission Vidyalaya College of Arts and Science, Coimbatore, India; Jayakumar T., Department of Mathematics, Sri Ramakrishna Mission Vidyalaya College of Arts and Science, Coimbatore, India; Ramya L., Department of Mathematics, Bharathiar University, Coimbatore, 641 046, India; Suvitha K., Centre for Nonlinear Systems, Chennai Institute of Technology, Tamilnadu, Chennai, India; Pamucar D., Department of Applied Mathematical Science, College of Science and Technology, Korea University, Sejong, South Korea, Yuan Ze University, College of Engineering, Department of Industrial Engineering and Managemente, Taoyuan City, Taiwan, Industrial Engineering Department, Faculty of Engineering and Natural Sciences, ?stinye University, ?stanbul, Turkey; Pedrycz W., Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada; Kureethara J.V., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISSN: 23524677;
Format
online
Language
English
Type
Article

Citation

Thilagasree, Chakkarapani Sumathi; Jayakumar, Thippan; Ramya, Lakshmanaraj; Suvitha, Krishnan; Pamucar, Dragan; Pedrycz, Witold; Kureethara, Joseph Varghese, “Hesitant bipolar fuzzy set-based decision system for electric vehicle charging station location planning,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/22456.

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