Fuzzy Graph Theory / by Sunil Mathew, John N. Mordeson, Davender S. Malik.
By: Mathew, Sunil., autor.
Contributor(s): Mordeson, John N., autor.
| Malik, D. S.
Material type:
E-bookSeries: (Studies in Fuzziness and Soft Computing,, 1434-9922; 363); (Engineering (Springer-11647)).Publisher: Cham : Springer International Publishing, 2018Description: 1 recurso en línea (XVII, 320 páginas 171 ilustraciones).ISBN: 9783319714073.Subject: Teoría de grafos | Inteligencia artificial
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | QA166.175 2018 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.15112181 |
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| QA166 ES Random Structures and Algorithms | QA166 ES Journal of Complex Networks | QA166 .G737 2016 EB Graph-based modelling in engineering | QA166.175 2018 EB Fuzzy Graph Theory | QA166.175 2019 EB m−Polar Fuzzy Graphs : Theory, Methods & Applications | QA166.175 2019 EB Advanced Topics in Fuzzy Graph Theory | QA166.2 2020 EB Comparative Analysis of Deterministic and Nondeterministic Decision Trees |
Fuzzy Sets and Relations -- Fuzzy Graphs -- Connectivity in Fuzzy Graphs -- More on Blocks in Fuzzy Graphs -- More on Connectivity and Distances -- Sequences, Saturation, Intervals and Gates in Fuzzy Graphs -- Interval-Valued Fuzzy Graphs -- Bipolar Fuzzy Graphs.
This book provides a timely overview of fuzzy graph theory, laying the foundation for future applications in a broad range of areas. It introduces readers to fundamental theories, such as Craine's work on fuzzy interval graphs, fuzzy analogs of Marczewski's theorem, and the Gilmore and Hoffman characterization. It also introduces them to the Fulkerson and Gross characterization and Menger's theorem, the applications of which will be discussed in a forthcoming book by the same authors. This book also discusses in detail important concepts such as connectivity, distance and saturation in fuzzy graphs. Thanks to the good balance between the basics of fuzzy graph theory and new findings obtained by the authors, the book offers an excellent reference guide for advanced undergraduate and graduate students in mathematics, engineering and computer science, and an inspiring read for all researchers interested in new developments in fuzzy logic and applied mathematics.
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