Multiperson Decision-Making Using Consistent Interval-Valued Fuzzy Information with Application in Supplier Selection
Xiaodong Yu,
Atiq ur Rehman (),
Samina Ashraf,
Muhammad Hussain and
Shahzad Faizi
Additional contact information
Xiaodong Yu: School of Computer Science, Chengdu University, Chengdu 610059, China
Atiq ur Rehman: Department of Mathematics, COMSATS University Islamabad, Lahore Campus, Lahore 53710, Pakistan
Samina Ashraf: Department of Mathematics, University of Education Bank Road Campus, Lahore 54000, Pakistan
Muhammad Hussain: Department of Mathematics, COMSATS University Islamabad, Lahore Campus, Lahore 53710, Pakistan
Shahzad Faizi: Department of Mathematics, Virtual University, Lahore 54000, Pakistan
Mathematics, 2023, vol. 11, issue 4, 1-14
Abstract:
This study describes a consistency-based approach for multiperson decision-making (MPDM) in which decision-makers’ suggestions are expressed as incomplete interval-valued fuzzy preference relations. The presented approach utilizes Lukasiewicz’s t-norm in conjunction with additive reciprocity to obtain comprehensive interval valued fuzzy preference relations from each expert, and the transitive closure formula also produces L -consistency. We would evaluate the consistency weights of the experts using consistency analysis. Experts are allocated final priority weights by combining the consistency weights and preset weights. A collective consistency matrix is then constructed from the weighted sum of preference matrices. After computing the possibility degrees, the normalization procedure is utilized to generate complimentary matrices, and the final ranking values of alternatives are derived as well. Finally, a numerical example demonstrates the efficacy of the suggested approach following a comparison analysis.
Keywords: multiperson decision-making; incomplete interval valued fuzzy preference relation; L -consistency; priority weights (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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