Results 261 to 270 of about 2,542,970 (326)
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Applied Soft Computing, 2019
Practical two-sided matching decision making problems, such as marriage matching and person-job matching, are often characterized by a lack of knowledge and time constraints.
Zhen Zhang +4 more
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Practical two-sided matching decision making problems, such as marriage matching and person-job matching, are often characterized by a lack of knowledge and time constraints.
Zhen Zhang +4 more
semanticscholar +1 more source
Fuzzy relations and fuzzy groups
Information Sciences, 1985The main result: Given a group \(G\) and a fuzzy set \(A\) on \(G\), \(A\) is a fuzzy group on \(G\) iff \(A\times A\) is a fuzzy group on \(G\times G\). A more general product of fuzzy groups was considered by \textit{H. Sherwood} [Fuzzy Sets Syst. 11, 79--89 (1983; Zbl 0529.20021)].
Bhattacharya, Prabir, Mukherjee, N. P.
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Knowledge-Based Systems, 2018
Large-scale group decision making (LSGDM) or complex group decision making (GDM) problems are very commonly encountered in actual life, especially in the era of data.
Xunjie Gou, Zeshui Xu, F. Herrera
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Large-scale group decision making (LSGDM) or complex group decision making (GDM) problems are very commonly encountered in actual life, especially in the era of data.
Xunjie Gou, Zeshui Xu, F. Herrera
semanticscholar +1 more source
Consistency-Based Algorithms for Decision-Making With Interval Fuzzy Preference Relations
IEEE transactions on fuzzy systems, 2019This paper reviews and analyzes several consistency concepts for interval fuzzy preference relations (IFPRs). On the basis of the comparisons, one can find that Krejčí's additive and multiplicative consistency concepts are more reasonable and flexible ...
F. Meng, Jie Tang, H. Fujita
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Visualizing and rectifying different inconsistencies for fuzzy reciprocal preference relations
Fuzzy Sets Syst., 2019Consistency is related with reasonableness. This paper proposes a graphical method to visualize and rectify different inconsistencies for fuzzy reciprocal preference relations (FPRs), and the consistency includes the ordinal and cardinal consistencies ...
Yejun Xu, F. Herrera
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The graph model for conflict resolution with incomplete fuzzy reciprocal preference relations
Fuzzy Sets Syst., 2019Within the paradigm of the Graph Model for Conflict Resolution (GMCR), fuzzy reciprocal preference relations (FPRs) can be usually employed to handle decision makers' (DMs') certain and uncertain preferences.
Nannan Wu, Yejun Xu, K. Hipel
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FUZZY CLUSTERING BASED ON INTUITIONISTIC FUZZY RELATIONS
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2004It is well known that an intuitionistic fuzzy relation is a generalization of a fuzzy relation. In fact there are situations where intuitionistic fuzzy relations are more appropriate. This paper discusses the fuzzy clustering based on intuitionistic fuzzy relations. On the basis of max -t & min -s compositions, we discuss an n-step procedure which
Hung, Wen-Liang +2 more
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FUZZY RELATION CALCULUS IN THE COMPRESSION AND DECOMPRESSION OF FUZZY RELATIONS
International Journal of Image and Graphics, 2002We firstly review some fundamentals of fuzzy relation calculus and, by recalling some known results, we improve the mathematical contents of our previous papers by using the properties of a triangular norm over [0,1]. We make wide use of the theory of fuzzy relation equations for getting lossy compression and decompression of images interpreted as two-
W. PEDRYCZ, V. LOIA, SESSA, SALVATORE
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α—Fuzzy Relation Equations and Decomposable Fuzzy Relations
1989In this Ch., we investigate a new type of fuzzy relation equation defined on finite sets and with membership functions on a complete Brouwerian lattice. We characterize the entire set of the solutions when the fuzzy equation is assigned on a linear lattice. We also study when a fuzzy relation is pointwise decomposable in the intersection (resp.
Antonio di Nola +3 more
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Fuzzy relations and fuzzy functions
Fuzzy Sets and Systems, 1986The author introduces, on a complete Brouwerian lattice L, interesting definitions of L-valued fuzzy equivalence relation, L-valued fuzzy function, L-fuzzy partition, and he goes deeply into their links. Noteworthy consequence of this new definition is that L-fuzzy-functions, so defined, assume values in a Boolean subalgebra of the lattice L. Later the
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