Results 291 to 300 of about 145,281 (336)
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Fuzzy Sets and Systems, 1992
The extension of a well-known class of Mason graphs (linear flow graphs) deals with their generalization through fuzzy variables. The \(k\)th node of the graph is described in the form, \(\widetilde\Sigma_ j X_ j\otimes T_{jk}= X_ k\), \(k=12,\dots,N\).
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The extension of a well-known class of Mason graphs (linear flow graphs) deals with their generalization through fuzzy variables. The \(k\)th node of the graph is described in the form, \(\widetilde\Sigma_ j X_ j\otimes T_{jk}= X_ k\), \(k=12,\dots,N\).
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Fuzzy multilevel graph embedding
Pattern Recognition, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Luqman, Muhammad Muzzamil +3 more
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Fuzzy colouring of fuzzy graphs
Afrika Matematika, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Samanta, Sovan +2 more
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Fuzzy coloring for fuzzy graphs
10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297), 2002In this paper the questions of coloring of fuzzy graphs are observed. Definitions of separation degree and fuzzy chromatic set of fuzzy graphs are presented. A method for finding fuzzy chromatic set is suggested and substantiated.
L.S. Bershtein, A.V. Bozhenuk
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Fuzzy Graphs and Fuzzy Hypergraphs
2020Relationship is the core building block of a network, and today's world advances through the complex networks. Graph theory deals with such problems more efficiently. But whenever vagueness or imprecision arises in such relationships, fuzzy graph theory helps. However, fuzzy hypergraphs are more advanced generalization of fuzzy graphs.
Michael G. Voskoglou +1 more
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Generalized fuzzy Euler graphs and generalized fuzzy Hamiltonian graphs
Journal of Intelligent & Fuzzy Systems, 2018Graph theory includes two unavoidable graphs, namely Euler graphs and Hamiltonian graphs. In this study, generalized fuzzy Euler graphs (GFEGs) and generalized fuzzy Hamiltonian graphs (GFHGs) are defined to express uncertain system like routes, networks. Here, even degrees of all vertices of graphs do not assure that the graphs are GFEG.
Samanta, Sovan, Sarkar, Biswajit
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Fuzzy End Nodes in Fuzzy Incidence Graphs
New Mathematics and Natural Computation, 2017The notion of a fuzzy end node in fuzzy incidence graphs is developed in this article. The concept of a fuzzy incidence graph is new and should be very useful in applications in fuzzy graphs and fuzzy networks. Relationships between weak incidence pairs and fuzzy incidence end nodes and fuzzy incidence cut vertices are developed.
Mordeson, John N., Mathew, Sunil
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Fuzzy closed graph fuzzy multifunctions
Fuzzy Sets and Systems, 2000zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Fuzzy Graphs and Fuzzy Hypergraphs
2009Graph theory has numerous application to problems in systems analysis, operations research, economics, and transportation. However, in many cases, some aspects of a graph-theoretic problem may be uncertain. For example, the vehicle travel time or vehicle capacity on a road network may not be known exactly.
Leonid S. Bershtein +1 more
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1993
For representation of imprecise knowledge, conceptual graphs (CGs) are extended by introduction of fuzzy set theory into the components concepts and conceptual relations. The fuzzy operator , operations such as join, maximal join, projection are defined and basic inference rules established.
Vilas Wuwongse, Mario Manzano
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For representation of imprecise knowledge, conceptual graphs (CGs) are extended by introduction of fuzzy set theory into the components concepts and conceptual relations. The fuzzy operator , operations such as join, maximal join, projection are defined and basic inference rules established.
Vilas Wuwongse, Mario Manzano
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