Intuitionistic Fuzzy Multi-Index Multi-Criteria Decision-Making for Smart Phone Selection Using Similarity Measures in a Fuzzy Environment

Journal Title: Journal of Industrial Intelligence - Year 2023, Vol 1, Issue 1

Abstract

Smart phone selection involves several product attributes and brand values of the manufacturing company, and the sets of alternatives, criteria, and decision-makers may be updated multiple times during the purchasing process. In this study, a multi-index multi-criteria decision-making approach is proposed using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) technique with intuitionistic fuzzy sets (IFS) measures based on score-based measures. The purchasing of electronic gadgets is considered, and a similarity-based solution to the multi-index, multi-criteria decision-making problem is proposed. The effectiveness of the suggested approach is demonstrated through a numerical scenario. The results highlight the efficacy of the proposed method in resolving specific decision-making problems in the marketplace.

Authors and Affiliations

Jogjiban Chakraborty, Sathi Mukherjee, Laxminarayan Sahoo

Keywords

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  • EP ID EP732412
  • DOI 10.56578/jii010101
  • Views 80
  • Downloads 0

How To Cite

Jogjiban Chakraborty, Sathi Mukherjee, Laxminarayan Sahoo (2023). Intuitionistic Fuzzy Multi-Index Multi-Criteria Decision-Making for Smart Phone Selection Using Similarity Measures in a Fuzzy Environment. Journal of Industrial Intelligence, 1(1), -. https://europub.co.uk/articles/-A-732412