On Kemeny Optimization Scheme for Fuzzy Set of Relations

Bibliographic Details
Title: On Kemeny Optimization Scheme for Fuzzy Set of Relations
Authors: Serhii O. Mashchenko, Olena A. Kapustian, Bruno Rubino
Source: Axioms, Vol 12, Iss 12, p 1067 (2023)
Publisher Information: MDPI AG, 2023.
Publication Year: 2023
Collection: LCC:Mathematics
Subject Terms: Kemeny distance, group decision-making problem, fuzzy preference relation, Type-2 fuzzy relation, Mathematics, QA1-939
More Details: The present paper investigated the aggregation of individual preferences into a group fuzzy preference relation for a fuzzy set of decision-makers (DMs). This aggregation is based on the Kemeny optimization scheme. It was proven that this group relation is a Type-2 fuzzy relation (T2FR). The decomposition approach was used to analyze the group T2FR. It is shown that the group T2FR can be decomposed according to secondary membership grades into a finite collection of Type-1 fuzzy relations. Each of them is a group fuzzy relation for a crisp set of DMs, which is the corresponding α-cut of the original fuzzy set of DMs. Illustrative examples are given.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2075-1680
Relation: https://www.mdpi.com/2075-1680/12/12/1067; https://doaj.org/toc/2075-1680
DOI: 10.3390/axioms12121067
Access URL: https://doaj.org/article/81a78dc7c2d24bf68cdc6f6b980c3525
Accession Number: edsdoj.81a78dc7c2d24bf68cdc6f6b980c3525
Database: Directory of Open Access Journals
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More Details
ISSN:20751680
DOI:10.3390/axioms12121067
Published in:Axioms
Language:English