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Multi-Attribute Group Decision Making (MAGDM) Using Fuzzy Linguistic Modeling Integrated With the VIKOR Method for Car Purchasing Model

Multi-Attribute Group Decision Making (MAGDM) Using Fuzzy Linguistic Modeling Integrated With the VIKOR Method for Car Purchasing Model
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Author(s): Soni Kumari (GLA University, Mathura, India), Bhavdeep Nakum (Institute of Infrastructure, Technology, Research and Management (IITRAM), Ahmedabad, India), Din Bandhu (Vidya Vihar Institute of Technology, Purnea, India)and Kumar Abhishek (Institute of Infrastructure, Technology, Research and Management (IITRAM), Ahmedabad, India)
Copyright: 2022
Volume: 14
Issue: 1
Pages: 20
Source title: International Journal of Decision Support System Technology (IJDSST)
DOI: 10.4018/IJDSST.286185

Purchase


Abstract

The change in the trend of transportation, increasing per capita income, expectation of better lifestyle, easy finance, and reduced cost of the automobile are some of the factors that enable a commoner to have his/her own car. Therefore, it is essential to comprise such features in cars that offer qualities enabling the ease of consumer decision-making and comfort to purchase a car individually. Purchasing a car is a complicated multi-criteria decision-making problem as an individual may have different preferences for different criteria attributes. The attributes may be conflicting in nature depending on the need of the individual customer. Generally, it becomes quite difficult to assign ratings to these attributes based on numeric values. Therefore, the decision-making process relies on an idiosyncratic finding of the decision-makers, which is in practice fuzzy with uncertainties. Hence, this article is a case study that deals with a hierarchy MCDM approach in accordance with the fuzzy logic and VIKOR method to solve a car purchasing problem.

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