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Article type: Research Article
Authors: Warrier, Sreelekshmi C.a | Mathew, Terry Jacobb | Alcantud, José Carlos R.c; *
Affiliations: [a] Department of Mathematics, MACFAST, Tiruvalla, Kerala, India | [b] School of Computer Sciences, MACFAST, Mahatma Gandhi University, Kottayam, Kerala, India | [c] BORDA Research Unit and Multidisciplinary Institute of Enterprise (IME), University of Salamanca, Salamanca, Spain
Correspondence: [*] Corresponding author. José Carlos R. Alcantud, BORDA Research Unit and Multidisciplinary Institute of Enterprise (IME), University of Salamanca, 37007 Salamanca, Spain. E-mail: jcr@usal.es.
Abstract: There has been an increase in the use of mathematical techniques involving extensions of fuzzy sets, of soft sets, and other structures of uncertain knowledge for dealing with multi-criteria decision making under vague or approximate information. Hybrid models have also proliferated because their applicability has been consistently tested by applied scholars. In this paper, we introduce the concept of fuzzy soft matrix on a fuzzy soft multiset and apply it to a decision making problem. An algorithm to choose the ideal alternative is given along with an example, for obtaining the optimal solution. A case study with a comparative analysis shows its feasibility and implementability in decision making systems. An experimental study with adjustable fuzzy inputs, done for a group decision making process, validates the proposal.
Keywords: Fuzzy soft set, fuzzy soft matrices, fuzzy soft multiset, fuzzy soft max-min method
DOI: 10.3233/JIFS-191177
Journal: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 2311-2322, 2020
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