Contemporary Fuzzy Logic A Perspective of Fuzzy Logic with Scilab /

Dettagli Bibliografici
Autori principali: Tomasiello, Stefania (Autore), Pedrycz, Witold (Autore), Loia, Vincenzo (Autore)
Ente Autore: SpringerLink (Online service)
Riassunto:XI, 136 p. 63 illus., 40 illus. in color.
text
Lingua:inglese
Pubblicazione: Cham : Springer International Publishing : Imprint: Springer, 2022.
Edizione:1st ed. 2022.
Serie:Big and Integrated Artificial Intelligence, 1
Soggetti:
Accesso online:https://doi.org/10.1007/978-3-030-98974-3
Natura: Elettronico Libro

MARC

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505 0 |a Introduction to fuzzy sets -- Fuzzy numbers -- Fuzzy relations -- Fuzzy logic -- Fuzzy inference systems -- Combining artificial neural networks and fuzzy sets -- Fuzzy transform -- Introduction to granular computing. 
520 |a This book offers an essential introduction to fuzzy logic, starting with the classical notions and going through more advanced notions from the current state-of-the-art research. Each of the major topics is accompanied by examples, problems and Scilab codes. As a free open source software, Scilab offers everyone the chance to practice the concepts learned through the book. The book represents a synthesis of authors’ research and experience through the lectures delivered to university students. It is primarily intended as a textbook for upper-level undergraduates and graduates in computer science, mathematics, physics and engineering. It also represents a valuable resource for practitioners and researchers alike, bringing ideas for projects in the broad field of fuzzy logic. 
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