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Article type: Research Article
Authors: Ghosh, Arijita | Dey, Munmunb | Mondal, Sankar Prasadc; * | Shaikh, Azharuddind | Sarkar, Anirbane | Chatterjee, Banashreef
Affiliations: [a] Department of Mathematics, St. Xavier’s College (Autonomous), Kolkata, West Bengal, India | [b] Department of Commerce, Vivekananda Mission Mahavidyalaya, West Bengal, India | [c] Department of Applied Science, MaulanaAbulKalam Azad University of Technology, West Bengal, India | [d] Department of Mathematics, Aliah University, West Bengal, India | [e] Department of Commerce & Management, West Bengal State University, Barasat, India | [f] Department of Information Technology, Dr. B. C. Roy Engineering College, Durgapur, West Bengal, India
Correspondence: [*] Corresponding author. Sankar Prasad Mondal, Department of Applied Sciences, MaulanaAbulKalam Azad University of Technology, West Bengal, India. Tel.: +918617561106; Emails: [email protected]; [email protected].
Abstract: E-Rickshaw is an E-vehicle that has three wheels, a rechargeable battery driven electric motor as engine. E-rickshaw has become very popular due to low operating cost, low maintenance cost, eco-friendliness and ease of driving. It is perfect for small distance transport. As a last mile connector, it has transformed the public transport system in India. The low cost electric vehicle carries enough people to make a decent income and hence has become a source of livelihood for many. For considering the issues in this paper, detailed attributes of E-rickshaw are studied and Analytical Hierarchy Process (AHP) has been applied to calculate criteria weights for the sorted attributes. Subsequently, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), a Multi Criteria Decision Making (MCDM) technique has been applied for the selection of best E-Rickshaw. In this paper, sensitivity analysis and comparative analysis have been conducted for further insight.
Keywords: AHP method, E-Rickshaws selection, sensitivity analysis, TOPSIS method
DOI: 10.3233/JIFS-202406
Journal: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 6, pp. 11217-11230, 2021
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