Results 251 to 260 of about 19,473 (302)
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Journal of Intelligent & Fuzzy Systems, 2023
Tolerance graphs were introduced in 1982 by M. C. Golumbic and C. L. Monma as a generalization of interval graphs. In this paper, we introduce tolerance fuzzy graphs as a generalization of tolerance graphs, and apply them to a modeling of a transmission of airborne diseases.
Dean Crnkovic, Andrea Svob
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Tolerance graphs were introduced in 1982 by M. C. Golumbic and C. L. Monma as a generalization of interval graphs. In this paper, we introduce tolerance fuzzy graphs as a generalization of tolerance graphs, and apply them to a modeling of a transmission of airborne diseases.
Dean Crnkovic, Andrea Svob
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Interval-valued fuzzy threshold graph [PDF]
Pacific Science Review A Natural Science and Engineering, 2016 Interval-valued fuzzy threshold graph is an extension of fuzzy threshold graph. In this paper, interval-valued fuzzy threshold graph, interval-valued fuzzy alternating 4-cycle, and interval-valued fuzzy threshold dimension are defined, and certain ...
Tarasankar Pramanik +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.
Leonid S. Bershtein +1 more
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Information Sciences, 2021
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Yong Peng 0001 +4 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yong Peng 0001 +4 more
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New Mathematics and Natural Computation, 2018
Edges of a fuzzy graph are mainly classified into [Formula: see text], [Formula: see text] and [Formula: see text]. In this paper, we study certain saturation counts with respect to the classification of edges. Characterizations for fuzzy cycles, fuzzy trees, blocks in fuzzy graphs and complete fuzzy graphs are also obtained using saturation counts.
Sunil Mathew +2 more
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Edges of a fuzzy graph are mainly classified into [Formula: see text], [Formula: see text] and [Formula: see text]. In this paper, we study certain saturation counts with respect to the classification of edges. Characterizations for fuzzy cycles, fuzzy trees, blocks in fuzzy graphs and complete fuzzy graphs are also obtained using saturation counts.
Sunil Mathew +2 more
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Graph fuzzy homomorphism interpreted as fuzzy association graphs
Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2002A new generic definition of graph fuzzy morphism is introduced that includes classical graph related problem definitions as sub-cases. Two practical interpretations as well as some properties are discussed. This definition is a first attempt towards a unified theoretic framework for graph morphism.
Aymeric Perchant, Isabelle Bloch
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Hesitant fuzzy graphs, hesitant fuzzy hypergraphs and fuzzy graph decisions1
Journal of Intelligent & Fuzzy Systems, 2021Up to now, there have been a lot of research results about multi-attribute decision making problems by fuzzy graph theory. However, there are few investigations about multi-attribute decision making problems under the background of indecisiveness. The main reason is that the difference of cognition and the complexity of thinking by decision makers, for
Gong, Zengtai, Wang, Junhu
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IEEE Transactions on Fuzzy Systems, 2015
Fuzzy planar graph is a very important subclass of fuzzy graph. In this paper, two types of edges are mentioned for fuzzy graphs: effective edges and considerable edges. In addition, a comparative study between Kuratowski's graphs and fuzzy planar graph is made. A new concept of a strong fuzzy planar graph is introduced.
Sovan Samanta, Madhumangal Pal
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Fuzzy planar graph is a very important subclass of fuzzy graph. In this paper, two types of edges are mentioned for fuzzy graphs: effective edges and considerable edges. In addition, a comparative study between Kuratowski's graphs and fuzzy planar graph is made. A new concept of a strong fuzzy planar graph is introduced.
Sovan Samanta, Madhumangal Pal
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New Mathematics and Natural Computation, 2017
Trafficking in persons is the most heinous and condemnable organized crime of our time. The eradication of this crime must involve the full cooperation of all. In this paper, we provide a mathematical method to model such cooperation. We use a new concept in fuzzy graph theory, namely, that of incidence.
Sunil Mathew, John N. Mordeson
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Trafficking in persons is the most heinous and condemnable organized crime of our time. The eradication of this crime must involve the full cooperation of all. In this paper, we provide a mathematical method to model such cooperation. We use a new concept in fuzzy graph theory, namely, that of incidence.
Sunil Mathew, John N. Mordeson
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Information Sciences, 1994
Different operations with graphs \(G_ 1\) and \(G_ 2\) yield \(G = g(G_ 1, G_ 2)\). Under a certain hypothesis, necessary and sufficient conditions are derived for ensuring that the application of \(g\), on two fuzzy subgraphs (fsg) of \(G_ 1\) and \(G_ 2\), provides a fsg of \(G\).
John N. Mordeson, Chang-Shyh Peng
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Different operations with graphs \(G_ 1\) and \(G_ 2\) yield \(G = g(G_ 1, G_ 2)\). Under a certain hypothesis, necessary and sufficient conditions are derived for ensuring that the application of \(g\), on two fuzzy subgraphs (fsg) of \(G_ 1\) and \(G_ 2\), provides a fsg of \(G\).
John N. Mordeson, Chang-Shyh Peng
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