£130.96

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£131 today · all-time low £128 (Sep 2026) · usually £131

Springer Fuzzy Graph Theory - Studies in Fuzziness 363

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Description

Explore the fundamental principles of fuzzy graph theory with this specialized volume from Springer. Part of the Studies in Fuzziness and Soft Computing series, this book provides a timely overview designed to lay the groundwork for future applications across various scientific fields. Readers will gain a deep understanding of essential 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. Beyond these core theories, the book offers detailed discussions on important concepts such as connectivity, distance, and saturation in fuzzy graphs. This resource serves as a foundational text for those studying computer science, AI, and machine learning.

Key Features

This Springer publication serves as a foundational text for understanding fuzzy graph theory and its future applications.

The book covers fundamental theories including Craine's work on fuzzy interval graphs and Marczewski's theorem analogs.

Detailed explanations are provided for the Gilmore and Hoffman characterization as well as the Fulkerson and Gross characterization.

Readers can study Menger's theorem and its related applications within the context of fuzzy graph theory.

The text includes in-depth discussions on connectivity, distance, and saturation in fuzzy graphs.

Product Specifications

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

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