Results 111 to 120 of about 1,724 (163)

On Compatibility of Interval Fuzzy Preference Relations

Fuzzy Optimization and Decision Making, 2004
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Zeshui Xu
exaly   +2 more sources

Fuzzy preference relations: Aggregation and weight determination

Computers and Industrial Engineering, 2007
Priority 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 ...
Zhi-Ping Fan
exaly   +2 more sources

Transitivity measurements of fuzzy preference relations

Fuzzy Sets and Systems, 2021
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Fang Liu 0017, Shu-Cai Zou, Qi-Rui You
openaire   +1 more source

Intuitionistic fuzzy preference relations

Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-2011), 2011
We consider properties of intuitionistic fuzzy preference relations. We study preservation of a preference relation by lattice operations, composition and some Atanassov’s operators like F, , P, , Q, , where , 2 [0,1]. We also define semi-properties of intuitionistic fuzzy relations, namely reflexivity, irreflexivity, connectedness, asymmetry ...
Urszula Dudziak, Barbara Pekala
openaire   +1 more source

FACTORIZATION OF INTUITIONISTIC FUZZY PREFERENCE RELATIONS [PDF]

New Mathematics and Natural Computation, 2014
The proofs of many factorization results for an intuitionistic fuzzy binary relation 〈ρμ,ρν〉 involve dual proofs, one for ρμ with respect to a t-conorm ⊕ and one for ρν with respect to a t-norm ⊗. In this paper, we show that one proof can be obtained from the other by considering ⊕ and ⊗ dual under an involutive fuzzy complement.
JOHN N. MORDESON, TERRY D. CLARK, KAREN ALBERT   +2 more
openaire   +2 more sources

Dynamic Fuzzy Preference Relations

Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007), 2007
In this paper, we present a class of new preference relations-dynamic fuzzy preference relations in which all the elements are the variables of time, and study some of their desirable properties. We also give a straightforward method for deriving the priority weights of dynamic fuzzy preference relations, and then develop an approach to constructing ...
openaire   +1 more source

Argumentation Framework with Fuzzy Preference Relations

2010
Dung's argumentation developed in Artificial Intelligence is based on a binary attack relation. An important particular case arises when there is a Boolean preference relation between the arguments. We propose to extend this argumentation framework to a fuzzy preference relation. This implies that an argument can attack another one to a certain degree.
Kaci, Souhila, Labreuche, Christophe
openaire   +2 more sources

The ordinal consistency of a fuzzy preference relation

Information Sciences, 2013
In this paper, we first analyze the rationality of weak transitivity of a fuzzy preference relation defined by Tanino [Fuzzy preference orderings in group decision making, Fuzzy Sets and Systems 12 (1984) 117-131]. We then propose a revised definition of weak transitivity (we call it ordinal consistency).
Yejun Xu, Ravi Patnayakuni, Huimin Wang
openaire   +1 more source

Fuzzy preference relation rough sets

2008 IEEE International Conference on Granular Computing, 2008
Preference analysis is a class of important tasks in multi-criteria decision making. The classical rough set theory was generalized to deal with preference analysis by replacing equivalence relations with dominance relation. However, crisp preference relations can not reflect the fuzziness in criteria. In this paper, we introduce the logsig function to
Qinghua Hu, Daren Yu, Congxin Wu
openaire   +1 more source

Aggregation of I-transitive fuzzy relations and fuzzy preference relations

Computational and Applied Mathematics
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Dechao Li, Yutao Yao
openaire   +1 more source