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Weighted and Fuzzy Graph Theory [[electronic resource] /] / by Sunil Mathew, John N. Mordeson, M. Binu



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Autore: Mathew Sunil Visualizza persona
Titolo: Weighted and Fuzzy Graph Theory [[electronic resource] /] / by Sunil Mathew, John N. Mordeson, M. Binu Visualizza cluster
Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Edizione: 1st ed. 2023.
Descrizione fisica: 1 online resource (226 pages)
Disciplina: 006.3
Soggetto topico: Computational intelligence
Graph theory
Computational Intelligence
Graph Theory
Altri autori: MordesonJohn N  
BinuM  
Nota di contenuto: Graphs and Weighted Graphs -- Connectivity -- More on Connectivity -- Cycle Connectivity -- Distance and Convexity -- Degree Sequences and Saturation -- Intervals and Gates -- Weighted Graphs and Fuzzy Graphs -- Fuzzy Results from Crisp Results.
Sommario/riassunto: One of the most preeminent ways of applying mathematics in real-world scenario modeling involves graph theory. A graph can be undirected or directed depending on whether the pairwise relationships among objects are symmetric or not. Nevertheless, in many real-world situations, representing a set of complex relational objects as directed or undirected is not su¢ cient. Weighted graphs o§er a framework that helps to over come certain conceptual limitations. We show using the concept of an isomorphism that weighted graphs have a natural connection to fuzzy graphs. As we show in the book, this allows results to be carried back and forth between weighted graphs and fuzzy graphs. This idea is in keeping with the important paper by Klement and Mesiar that shows that many families of fuzzy sets are lattice isomorphic to each other. We also outline the important work of Head and Weinberger that show how results from ordinary mathematics can be carried over to fuzzy mathematics. We focus on the concepts connectivity, degree sequences and saturation, and intervals and gates in weighted graphs.
Titolo autorizzato: Weighted and Fuzzy Graph Theory  Visualizza cluster
ISBN: 3-031-39756-8
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910741189003321
Lo trovi qui: Univ. Federico II
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Serie: Studies in Fuzziness and Soft Computing, . 1860-0808 ; ; 429