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

Soni Kumari, Bhavdeep Nakum, Din Bandhu and Kumar Abhishek
Additional contact information
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
Kumar Abhishek: Institute of Infrastructure, Technology, Research and Management (IITRAM), Ahmedabad, India

International Journal of Decision Support System Technology (IJDSST), 2022, vol. 14, issue 1, 1-20

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.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJDSST.286185 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jdsst0:v:14:y:2022:i:1:p:1-20

Access Statistics for this article

International Journal of Decision Support System Technology (IJDSST) is currently edited by Shaofeng Liu

More articles in International Journal of Decision Support System Technology (IJDSST) from IGI Global
Bibliographic data for series maintained by Journal Editor ().