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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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Individual Fuzzy Relation of Preference
1992The main purpose of the fuzzy approach of individual preferences is to introduce some new behaviors inside the standard theory. The existing literature is generally divided in two schools, according to the position authors adopt relatively to the axiom of independence of Irrelevant Alternatives (IIA).1 Actually, most of the works using fuzzy ...
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Interval-Valued Fuzzy Preference Relations and Their Properties
2015In the paper properties of interval-valued fuzzy preference relations are considered and preservation of a preference property by some operations, including lattice operations, the converse and the complement relations are studied. The concept of a preference relation presented here is a generalization of the concept of crisp preference relations ...
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Fuzzy Preference Queries To Relational Databases
2011Pivert, Olivier, Bosc, Patrick
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Generalization and ranking of fuzzy numbers by relative preference relation
Soft Computing, 2021Syam Prasad Kuncham +2 more
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Ranking triangle and trapezoidal fuzzy numbers based on the relative preference relation
Applied Mathematical Modelling, 2015Knight Wang
exaly
Priorities of Intuitionistic Fuzzy Preference Relation Based on Multiplicative Consistency
IEEE Transactions on Fuzzy Systems, 2014Huchang Liao, Zeshui Xu
exaly
A least deviation method to obtain a priority vector of a fuzzy preference relation
European Journal of Operational Research, 2005Zeshui Xu, Qingli Da
exaly
Deriving interval weights from an interval multiplicative consistent fuzzy preference relation
Knowledge-Based Systems, 2012Shiquan Sun, Mingming Hu, Jibin Lan
exaly
A new method of obtaining the priority weights from an interval fuzzy preference relation
Information Sciences, 2012Wei-Guo Zhang
exaly

