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Weighted and fuzzy graph theory

Record Type:	Electronic resources : Monograph/item
Title/Author:	Weighted and fuzzy graph theoryby Sunil Mathew, John N. Mordeson, M. Binu.
Author:	Mathew, Sunil.
other author:	Mordeson, John N.
Published:	Cham :Springer Nature Switzerland :2023.
Description:	xvii, 216 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Graph theory.
Online resource:	https://doi.org/10.1007/978-3-031-39756-1
ISBN:	9783031397561$q(electronic bk.)

Weighted and fuzzy graph theory
Mathew, Sunil.

Weighted and fuzzy graph theory[electronic resource] /by Sunil Mathew, John N. Mordeson, M. Binu. - Cham :Springer Nature Switzerland :2023. - xvii, 216 p. :ill., digital ;24 cm. - Studies in fuzziness and soft computing,v. 4291860-0808 ;. - Studies in fuzziness and soft computing ;v.273..

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.

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.

ISBN: 9783031397561$q(electronic bk.)

Standard No.: 10.1007/978-3-031-39756-1doiSubjects--Topical Terms:

181880
Graph theory.

LC Class. No.: QA166

Dewey Class. No.: 511.5

Weighted and fuzzy graph theory
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520 $a 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.
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