Results 271 to 280 of about 107,687,914 (342)
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A note on fuzzy relations and fuzzy groups
Information Sciences, 1991The paper characterizes groups G such that for any fuzzy subgroup R of \(G\times G\) the formula \(A_ R(x)=\sup_{y\in G}\min (R(x,y),R(y,x))\) gives a fuzzy subgroup of G. This corrects a result of \textit{P. Bhattacharya} and \textit{N. P. Mukherjee} [Inf. Sci. 36, 267-282 (1985; Zbl 0599.20003), Theorem 4.7].
D. S. Malik, John N. Mordeson
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Fuzzy functional dependencies in fuzzy relations
1986 IEEE Second International Conference on Data Engineering, 1986The paper deals with fuzzy functional dependencies and associated inference rules. A set of sound and complete inference rules are proposed. The problem of lossless join decomposition of fuzzy relations for a given set of fuzzy functional dependencies are examined.
K. V. S. V. N. Raju, Arun K. Majumdar
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Fuzzy Sets Syst., 2017
The data transmission mechanism in BitTorrent-like Peer-to-Peer (P2P) file sharing systems may be reduced to some addition-min fuzzy relation inequalities.
Xiaopeng Yang +3 more
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The data transmission mechanism in BitTorrent-like Peer-to-Peer (P2P) file sharing systems may be reduced to some addition-min fuzzy relation inequalities.
Xiaopeng Yang +3 more
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Fuzzy modifiers based on fuzzy relations
Information Sciences, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Martine De Cock, Etienne E. Kerre
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Information Fusion, 2020
This article considers a kind of multiple attribute group decision making problem which the decision-makers have different evaluation index set over the attribute set for all candidate alternatives.
Bingzhen Sun, Xuemei Zhou, Nannan Lin
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This article considers a kind of multiple attribute group decision making problem which the decision-makers have different evaluation index set over the attribute set for all candidate alternatives.
Bingzhen Sun, Xuemei Zhou, Nannan Lin
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Uniform fuzzy relations and fuzzy functions
Fuzzy Sets and Systems, 2009In this paper, one of the approaches to the concept of a fuzzy function is presented. Diverse types of fuzzy functions are based on fuzzy equivalence relations. For example, such an approach was used in definitions of partial fuzzy functions and fuzzy functions presented by Klawonn, and of strong fuzzy functions and perfect fuzzy functions presented by
Miroslav Ciric 0001 +2 more
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Fuzzy groups, fuzzy functions and fuzzy equivalence relations
Fuzzy Sets and Systems, 2004To each fuzzy subgroup a fuzzy equivalence relation is associated and it is proved that a fuzzy subgroup is normal if and only if the operation of the group is compatible with its associated fuzzy equivalence relation. In the definition of fuzzy subgroup only the subset is fuzzy whilst the group operation remains crisp.
Demirci, M, Recasens Ferrés, Jorge
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Fuzzy Sets Syst., 2017
It is shown in this paper that the emission base stations in wireless communication can be reduced into a system of fuzzy relation inequalities with max-product composition.
Xiaopeng Yang, De-Hui Yuan, B. Cao
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It is shown in this paper that the emission base stations in wireless communication can be reduced into a system of fuzzy relation inequalities with max-product composition.
Xiaopeng Yang, De-Hui Yuan, B. Cao
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On Convexity of Fuzzy Sets and Fuzzy Relations
Information Sciences, 1992A fuzzy set \(A\) on the vector space \(X\) (i.e. \(A\) is a mapping from \(X\) to the unit interval) is called convex if all \(\alpha\)-cuts of \(A\) are convex. The question that paper deals with is: For which operations applied to convex fuzzy sets or convex fuzzy relations is the resulting fuzzy set or relation again convex?
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IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 1999
This study concentrates on fuzzy relational calculus regarded as a basis of data compression. In this setting, images are represented as fuzzy relations. We investigate fuzzy relational equations as a basis of image compression. It is shown that both compression and decompression (reconstruction) phases are closely linked with the way in which fuzzy ...
Kaoru Hirota, Witold Pedrycz
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This study concentrates on fuzzy relational calculus regarded as a basis of data compression. In this setting, images are represented as fuzzy relations. We investigate fuzzy relational equations as a basis of image compression. It is shown that both compression and decompression (reconstruction) phases are closely linked with the way in which fuzzy ...
Kaoru Hirota, Witold Pedrycz
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