Results 11 to 20 of about 104,332,993 (294)
FUZZY STRICT PREFERENCE RELATIONS COMPATIBLE WITH FUZZY ORDERINGS [PDF]
One of the most important issues in the field of fuzzy preference modelling is the construction of a fuzzy strict preference relation and a fuzzy indifference relation from a fuzzy weak preference relation. Here, we focus on a particular class of fuzzy weak preference relations, the so-called fuzzy orderings.
Bonifacio Llamazares, Bernard De Baets
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Regression methods for hesitant fuzzy preference relations
In this paper, we develop two regression methods that transform hesitant fuzzy preference relations (HFPRs) into fuzzy preference relations (FPRs). On the basis of the complete consistency, reduced FPRs with the highest consistency levels can be derived ...
Bin Zhu, Zeshui Xu
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Decomposition and Intersection of Two Fuzzy Numbers for Fuzzy Preference Relations
In fuzzy decision problems, the ordering of fuzzy numbers is the basic problem. The fuzzy preference relation is the reasonable representation of preference relations by a fuzzy membership function. This paper studies Nakamura’s and Kołodziejczyk’s preference relations.
Hui-Chin Tang
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Evolving single- and multi-model fuzzy classifiers with FLEXFIS-class [PDF]
[2] R. Santos, E. Dougherty, and J. A. Jaakko, “Creating fuzzy rules for image classification using biased data clustering,” in SPIE proceedings series (SPIE proc. ser.) International Society for Optical Engineering proceedings series.
Angelov, Plamen +5 more
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Fuzzy incomplete linguistic preference relations
The effectiveness of preference relations in modeling decision-making processes makes it one of the most common representations of information use for solving decision-making problems. This research presents the fuzzy incomplete linguistic preference relations (Fuzzy InLinPreRa) approach as evaluated by decision-makers dealing with increasing ...
Tien-Chin Wang, Shu-Li Huang
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Prioritised fuzzy constraint satisfaction problems: axioms, instantiation and validation [PDF]
This paper identifies a generic axiom framework for prioritised fuzzy constraint satisfaction problems (PFCSPs), and proposes methods to instantiate it (i.e., to construct specific schemes which obey the generic axiom framework).
Luo, X. +14 more
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Generalization and ranking of fuzzy numbers by relative preference relation
We define 2 n+ 1 and 2n fuzzy numbers, which generalize triangular and trapezoidal fuzzy numbers, respectively. Then, we extend the fuzzy preference relation and relative preference relation to rank 2 n+ 1 and 2n fuzzy numbers.
Koppula, Kavitha +2 more
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Compatibility measurement-based group decision making with interval fuzzy preference relations
In this paper, we put forward a ratio-based compatibility degree between any two ]0,1[-valued interval numbers to measure how proximate they approach to each other.
Xue-Yang Zhang, Zhou J Wang
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The probabilistic hesitant multiplicative preference relations (PHMPRs) can model the opinions of the decision makers for pairwise comparisons over alternatives using some possible values from Saaty's 1-9 scale with the probability information.
Mingwei Lin +3 more
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Cubic Pythagorean Fuzzy Graphs
The purpose of the study is to explore graph theory based on cubic Pythagorean fuzzy sets. The concept of cubic Pythagorean fuzzy graphs (CuPFGs) is introduced in this research work.
G. Muhiuddin +3 more
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