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Contemporary Fuzzy Logic : A Perspective of Fuzzy Logic with Scilab / by Stefania Tomasiello, Witold Pedrycz, Vincenzo Loia

By: Tomasiello, Stefania, autor
Contributor(s): Pedrycz, Witold (1953-), autor | Loia, Vincenzo, (1961-), autor
Material type: materialTypeLabelE-bookSeries: (Big and Integrated Artificial Intelligence, 2662-4141; 1).Publisher: Cham : Springer International Publishing, 2022Edition: First edition 2022.Description: 1 recurso en línea (XI, 136 páginas) : 63 ilustraciones, 40 ilustraciones a color.ISBN: 9783030989743.Subject: Lógica difusa | Software libre | Análisis numéricoOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
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.
In: Springer Nature eBookSummary: 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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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería QA9.64 2022 EB (Browse shelf(Opens below)) Acceso electrónico
Total holds: 0

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.

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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