Results 261 to 270 of about 104,332,993 (294)
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Incomplete interval valued fuzzy preference relations
Information Sciences, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Asma Khalid, Ismat Beg
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Preference relation on fuzzy utilities based on fuzzy leftness relation on intervals
Fuzzy Sets and Systems, 1998Abstract We define a new preference relation μ P ( x , y ) between two fuzzy numbers or utilities x and y , based on the fuzzy leftness relationship between intervals. A key property of μ P ( x , y ) is that it satisfies the well-known min-transitivity property: μ P ( x , z ) ⩾ min{( μ P ( x , y ), μ P ( y , z )}; the previous definitions
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Einstein consistency of fuzzy preference relations
Journal of Intelligent & Fuzzy SystemsPairwise fuzzy preference matrices can be constructed using expert ratings. The number of pairwise preference values to be specified by the experts increases quadratically with the number of options. Consistency (transitivity) allows to reduce this quadratic complexity to linear complexity which makes this approach feasible also for large scale ...
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Fuzzy preference relations: Aggregation and weight determination
Computers & Industrial Engineering, 2007Priority ranking and aggregation are two major concerns of fuzzy preference relations. This paper focuses on the aggregation of fuzzy preference relations and presents two optimization aggregation approaches to determine the relative weights of individual fuzzy preference relations so that they can be aggregated into a collective fuzzy preference ...
Ying-Ming Wang 0001, Zhi-Ping Fan
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Fuzzy Coefficients and Fuzzy Preference Relations in Models of Decision Making
2003Analysis of models is considered as part of a general approach to solving a wide class of optimization problems with fuzzy coefficients. This approach consists in formulating and solving one and the same problem within the framework of interrelated models to maximally cut off dominated alternatives.
Petr Ekel +4 more
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A method for repairing the inconsistency of fuzzy preference relations
Fuzzy Sets and Systems, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jian Ma 0008 +4 more
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A new fuzzy ranking method based on fuzzy preference relation
SMC 2000 Conference Proceedings. 2000 IEEE International Conference on Systems, Man and Cybernetics. 'Cybernetics Evolving to Systems, Humans, Organizations, and their Complex Interactions' (Cat. No.00CH37166), 2002In this paper, we propose a new fuzzy preference relation for fuzzy ranking, such that it is easy to compute and such that the uncertainty of fuzzy numbers can be maintained during the computation. Our ranking method is a good one since it possesses the following properties: (1) fuzzy preference presentation; (2) rationality of preference ordering; (3)
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On additive consistency of interval fuzzy preference relations
Computers & Industrial Engineering, 2017Additive consistency of interval fuzzy preference relations is studied.Definitions provided by other authors are reviewed and drawbacks are pointed out.New definitions of additive consistency and additive weak consistency are proposed.The new definitions are invariant under permutation of objects.The new definitions preserve the additive reciprocity of
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Transitivity of fuzzy preference relations – an empirical study
Fuzzy Sets and Systems, 2001Based on an experiment we show that human preferences, when represented by fuzzy relations, may violate transitivity. We define an index of transitivity and compute the degree to which the transitivity is violated.
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On fuzzy preference relation in group decision making
International Journal of Computer Mathematics, 2005In this article, we propose a new property called ‘comparable’ for fuzzy preference relation. We show that if a fuzzy preference relation satisfies reciprocal, transitive and comparable, it needs only O(n) comparisons of fuzzy numbers to rank n fuzzy numbers with fuzzy preference relation, which is more competitive than traditional methods that needs ...
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