Weighted and Fuzzy Graph Theory (Studies in Fuzziness and Soft Computing, 429, Band 429)

Mathew, Sunil; Mordeson, John N.; Binu, M.

ISBN 10: 3031397584 / ISBN 13: 9783031397585

Published by Springer, 2024

About this Item

Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher.

Seller Inventory # 42821339/1

Bibliographic Details

• Title: Weighted and Fuzzy Graph Theory (Studies in Fuzziness and Soft Computing, 429, Band 429)
• Publisher: Springer
• Publication Date: 2024
• Language: English
• ISBN 10: 3031397584
• ISBN 13: 9783031397585
• Binding: Soft cover
• Condition: Hervorragend
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.