Results 31 to 40 of about 11,104 (208)
Constructing fuzzy graphs from examples [PDF]
Intelligent Data Analysis, 1999 Methods to build function approximators from example data have gained considerable interest in the past. Especially methodologies that build models that allow an interpretation have attracted attention. Most existing algorithms, however, are either complicated to use or infeasible for high-dimensional problems.
Berthold, Michael R., Huber, Klaus-Peter
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Representation of competitions by generalized fuzzy graphs
International Journal of Computational Intelligence Systems, 2018 Generalized fuzzy graphs are perfect to represent any system like networks, images, scheduling, etc. compared to fuzzy graphs. This study introduces the concept of a generalized fuzzy neighbourhood of a vertex and generalized fuzzy graphs.
Sovan Samanta, Biswajit Sarkar
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Weighted Graphs and Fuzzy Graphs
, 2023 It has been shown in literature that in the two-dimensional case, the lattices of truth values considered are pairwise isomorphic, and so are the corresponding families of fuzzy sets. Therefore, each result for one of these types of fuzzy sets can be directly rewritten for each (isomorphic) type of fuzzy sets.
Mathew, Sunil +2 more
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Generalized Fuzzy Graph Connectivity Parameters with Application to Human Trafficking
Mathematics, 2020 Graph models are fundamental in network theory. But normalization of weights are necessary to deal with large size networks like internet. Most of the research works available in the literature have been restricted to an algorithmic perspective alone ...
Arya Sebastian +2 more
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q-Rung Orthopair Fuzzy Competition Graphs with Application in the Soil Ecosystem
Mathematics, 2019 The q-rung orthopair fuzzy set is a powerful tool for depicting fuzziness and uncertainty, as compared to the Pythagorean fuzzy model. The aim of this paper is to present q-rung orthopair fuzzy competition graphs (q-ROFCGs) and their generalizations ...
Amna Habib, Muhammad Akram, Adeel Farooq
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On Strong Intervals in Fuzzy Graphs
Fuzzy Information and Engineering, 2017 Intervals and convexity play crucial roles in the applications of graph theory such as town planning and design of graphics. In this article, the concept of geodetic interval in graphs is extended to fuzzy graphs.
M.V. Dhanyamol, Sunil Mathew
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JOURNAL OF ADVANCES IN MATHEMATICS, 2019 In this paper, neighbourly irregular fuzzy graphs, neighbourly total irregular fuzzy graphs, highly irregular fuzzy graphs and highly total irregular fuzzy graphs are introduced. A necessary and suļ¬cient condition under which neighbourly irregular and highly irregular fuzzy graphs are equivalent is provided.
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Specific Types of Pythagorean Fuzzy Graphs and Application to Decision-Making
Mathematical and Computational Applications, 2018 The purpose of this research study is to present some new operations, including rejection, symmetric difference, residue product, and maximal product of Pythagorean fuzzy graphs (PFGs), and to explore some of their properties.
Muhammad Akram +3 more
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Perfect Fuzzy Soft Tripartite Graphs and Their Complements
Discrete Dynamics in Nature and Society, 2022 Fuzzy soft graphs are efficient numerical tools for simulating the uncertainty of the real world. A fuzzy soft graph is a perfect fusion of the fuzzy soft set and the graph model that is widely used in a variety of fields.
Kalaichelvan Kalaiarasi +4 more
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HeliyonIn this manuscript, we first initiate several types of effective arcs of intuitionistic fuzzy directed graphs, followed by discussions on different types of dominations in intuitionistic fuzzy directed graphs and their application in decision-making. The
Waheed Ahmad Khan +7 more
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