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A hybrid support vector machine and neural network model with fuzzy logic fusion for smart city traffic prediction. [PDF]
Abbas B +7 more
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ANN-based analysis of MHD third-grade hybrid nanofluid flow over a thin needle with fuzzy volume fraction under nonlinear radiation and heat generation. [PDF]
Siddique I +6 more
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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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Fuzzy end nodes in fuzzy graphs
Information Sciences, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bhutani, Kiran R., Rosenfeld, Azriel
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Fuzzy domination in fuzzy graphs
Journal of Intelligent & Fuzzy Systems, 2023Let G = (V, μ, σ) be a fuzzy graph on a finite set V. A fuzzy subset μ′ of μ is called a fuzzy dominating set of G if, μ ′ ( v ) + ∑ x ∈ V ( σ ( x , v ) ∧ μ ′ ( x ) ) ≥ μ ( v ) for every v ∈ V . Fuzzy domination number γfz is defined accordingly. In this paper we initiate a study of this parameter.
Lekha, A., Parvathy, K.S.
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FUZZY GRAPH STRUCTURE OF FLOWER GRAPHS
Far East Journal of Applied Mathematics, 2017Summary: In this paper, we consider a flower graph \(fl_n\) and define the membership function for vertices and edges for \(fl_n\) to make it a fuzzy flower graph \(f\widetilde{l}_n\). Then the fuzzy graph structure for \(f\widetilde{l}_n\) is developed. The vertex and edge cohesive number of \(f\widetilde{l}_n\) are computed.
Harinath, Purnima, Lavanya, S.
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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.
Mathew, Sunil +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.
Mathew, Sunil +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.
A. Perchant, I. Bloch
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