A Multi-Criteria Decision-Making Model Based on Bipolar Neutrosophic Sets for the Selection of Battery Electric Vehicles
Myvizhi M. 1, Samah I. Abdel Aal 2
1Department of Mathematics, KPR Institute of Engineering and Technology, Coimbatore, India
2Department of Information System, Faculty of Computers and Informatics, Zagazig University, Egypt
Email: myvizhi.m@kpriet.ac.in; eng_samah2013@yahoo.com
Abstract
In the current time, global warming has compelled the automotive vehicle tech sector to undertake a paradigm shift from internal combustion engines that are fueled by fossil fuels to electrical motors that are used for traction instead. It has become an important problem to evaluate BEV options in a thorough manner from the perspective of the consumer because of the recent fast expansion that the BEV industry has seen. This evaluation may be carried out by looking at the fundamental characteristics of every BEV. In addition, effective tools for making the correct choice on the purchase of a BEV are those that use multiple criteria decision making (MCDM). The selection process of BEVs involves vague and uncertainty problem, so that, this work aims to introduce a new multi-criteria decision-making model based on the neutrosophic sets and TOPSIS method to overcome this problem. The results concluded that the proposed model could handle unclear information and uncertainty which exist usually in the sekection process and present an effective model to rank and select best BEVs.
Keyword: Neutrosophic Sets; MCDM; Battery Electric Vehicles; TOPSIS method