£131.35

Springer Fuzzy Graph Theory - Studies in Fuzziness and Soft Computing

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Description

Expand your mathematical knowledge with Fuzzy Graph Theory, part of the Studies in Fuzziness and Soft Computing series by Springer. This book provides a timely overview of fuzzy graph theory, serving as a foundation for future applications across many different fields. Readers will explore fundamental theories including Craine's work on fuzzy interval graphs and fuzzy analogs of Marczewski's theorem. The text also covers the Gilmore and Hoffman characterization, the Fulkerson and Gross characterization, and Menger's theorem. By studying these core concepts, you prepare for advanced applications discussed in forthcoming literature by the same authors. This volume offers detailed discussions on essential topics such as connectivity, distance, and more. It is an ideal resource for those studying computer science, AI, and machine learning who need a deep understanding of fuzzy logic and graph theory applications.

Key Features

Provides a comprehensive overview of fuzzy graph theory to build a strong foundation for future academic or professional applications.

Covers essential mathematical theories including Craine's work on fuzzy interval graphs and fuzzy analogs of Marczewski's theorem.

Includes detailed analysis of the Gilmore and Hoffman characterization and the Fulkerson and Gross characterization.

Explores important concepts like connectivity, distance, and Menger's theorem to support advanced research.

Serves as a primary resource within the Studies in Fuzziness and Soft Computing series from Springer.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
06 June 2019
Listed Since
28 December 2018

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