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Hybrid Soft Computing Models Applied to Graph Theory / / by Muhammad Akram, Fariha Zafar



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Autore: Akram Muhammad Visualizza persona
Titolo: Hybrid Soft Computing Models Applied to Graph Theory / / by Muhammad Akram, Fariha Zafar Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Edizione: 1st ed. 2020.
Descrizione fisica: 1 online resource (XXV, 434 p. 279 illus., 1 illus. in color.)
Disciplina: 511.5
Soggetto topico: Computational intelligence
Operations research
Management science
Data mining
Computational Intelligence
Operations Research, Management Science
Data Mining and Knowledge Discovery
Operations Research and Decision Theory
Persona (resp. second.): ZafarFariha
Nota di bibliografia: Includes bibliographical references and indexes.
Nota di contenuto: Rough Fuzzy Graphs -- Fuzzy Rough Graphs -- Intuitionistic Fuzzy Rough Graphs -- Fuzzy Soft Graphs -- Intuitionistic Fuzzy Soft Graphs -- Soft Rough Fuzzy Graphs -- Bipolar Fuzzy Soft Graphs -- Soft Rough Neutrosophic Influence Graphs.
Sommario/riassunto: This book describes a set of hybrid fuzzy models showing how to use them to deal with incomplete and/or vague information in different kind of decision-making problems. Based on the authors’ research, it offers a concise introduction to important models, ranging from rough fuzzy digraphs and intuitionistic fuzzy rough models to bipolar fuzzy soft graphs and neutrosophic graphs, explaining how to construct them. For each method, applications to different multi-attribute, multi-criteria decision-making problems, are presented and discussed. The book, which addresses computer scientists, mathematicians, and social scientists, is intended as concise yet complete guide to basic tools for constructing hybrid intelligent models for dealing with some interesting real-world problems. It is also expected to stimulate readers’ creativity thus offering a source of inspiration for future research.
Titolo autorizzato: Hybrid Soft Computing Models Applied to Graph Theory  Visualizza cluster
ISBN: 3-030-16020-3
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910484030803321
Lo trovi qui: Univ. Federico II
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Serie: Studies in Fuzziness and Soft Computing, . 1860-0808 ; ; 380