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Incomplete Fuzzy Preference Matrix and Its Application to Ranking of Alternatives
Author(s) -
Ramík Jaroslav
Publication year - 2014
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.21663
Subject(s) - mathematics , fuzzy logic , preference , matrix (chemical analysis) , multiplicative function , fuzzy number , pairwise comparison , fuzzy associative matrix , transitive relation , mathematical optimization , ranking (information retrieval) , eigenvalues and eigenvectors , consistency (knowledge bases) , fuzzy set , computer science , artificial intelligence , discrete mathematics , combinatorics , statistics , mathematical analysis , physics , quantum mechanics , materials science , composite material
A fuzzy preference matrix is the result of pairwise comparison of a powerful method in multicriteria optimization. When comparing two elements, a decision maker assigns the value between 0 and 1 to any pair of alternatives representing the element of the fuzzy preference matrix. Here, we investigate relations between transitivity and consistency of fuzzy preference matrices and multiplicative preference ones. The obtained results are applied to situations where some elements of the fuzzy preference matrix are missing. We propose a new method for completing fuzzy matrix with missing elements called the extension of the fuzzy preference matrix. We investigate some important particular case of the fuzzy preference matrix with missing elements. Consequently, by the eigenvector of the transformed matrix we obtain the corresponding priority vector. Illustrative numerical examples are supplemented.