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Fuzzy Logic de Enric Trillas

Fuzzy Logic: Studies in Fuzziness and Soft Computing, cartea 320

Autor Enric Trillas, Luka Eciolaza
en Limba Engleză Paperback – 6 oct 2016
This book introduces readers to fundamental concepts in fuzzy logic. It describes the necessary theoretical background and a number of basic mathematical models. Moreover, it makes them familiar with fuzzy control, an important topic in the engineering field. The book offers an unconventional introductory textbook on fuzzy logic, presenting theory together with examples and not always following the typical mathematical style of theorem-corollaries. Primarily intended to support engineers during their university studies, and to spark their curiosity about fuzzy logic and its applications, the book is also suitable for self-study, providing a valuable resource for engineers and professionals who deal with imprecision and non-random uncertainty in real-world applications.
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Specificații

ISBN-13: 9783319386430
ISBN-10: 3319386433
Pagini: 216
Ilustrații: XI, 204 p. 103 illus., 3 illus. in color.
Dimensiuni: 155 x 235 x 12 mm
Greutate: 0.34 kg
Ediția:Softcover reprint of the original 1st edition 2015
Editura: Springer
Colecția Studies in Fuzziness and Soft Computing
Seria Studies in Fuzziness and Soft Computing

Locul publicării:Cham, Switzerland

Cuprins

On the roots of fuzzy sets.- Algebras of fuzzy sets.- Reasoning and fuzzy logic.- Fuzzy relations.- T-Preorders and T-Indistinguishabilities.- Fuzzy arithmetic.- Fuzzy measures.- An Introduction to Fuzzy Control.

Recenzii

“It provides a nice and quick introduction to all these concepts in a very easy and understandable way. … the book is totally adequate for a basic introductory course on fuzzy logic (especially for engineering students), but also has the advantage of being ideal as a self-learning book for those who may be tangentially interested in the field.” (Joan Torrens, Mathematical Reviews, July, 2018)



“The book is slim: it compresses all the key concepts of fuzzy logic in about 200 pages. … the book would be well suited for introductory courses in other disciplines including computer science. … the approach taken by the authors to explain fuzzy logic makes me strongly recommend it for basic undergraduate and graduate courses on fuzzy logic or soft computing.” (Corrado Mencar, Computing Reviews, November, 2015)

Textul de pe ultima copertă

This book introduces readers to fundamental concepts in fuzzy logic. It describes the necessary theoretical background and a number of basic mathematical models. Moreover, it makes them familiar with fuzzy control, an important topic in the engineering field. The book offers an unconventional introductory textbook on fuzzy logic, presenting theory together with examples and not always following the typical mathematical style of theorem-corollaries. Primarily intended to support engineers during their university studies, and to spark their curiosity about fuzzy logic and its applications, the book is also suitable for self-study, providing a valuable resource for engineers and professionals who deal with imprecision and non-random uncertainty in real-world applications.
 

Caracteristici

Presents both basic concepts and a number of mathematical models for fuzzy logic Includes an introduction on fuzzy control Intended as introductory book on fuzzy logic for engineers and engineering students Written by leading experts in the field Includes supplementary material: sn.pub/extras

Notă biografică

Enric Trillas is a Spanish scientist specializing in fuzzy logic and artificial intelligence. He has held various academic positions, including professorships at the Polytechnic University of Catalonia and the Polytechnic University of Madrid. Trillas has contributed over 200 research articles to specialized journals and served as a member of the editorial board for Journal on Intelligent Systems. He has authored several notable works on fuzzy logic, such as "Conjuntos borrosos" (1980) and "Introducción a la lógica borrosa" (1995). Trillas is a member of prestigious scientific societies and has received awards for his contributions, including the European Pioneer Award in 1999.
About the Translator:
Edy Portmann is the Swiss Post Professor of Computer Science at the University of Fribourg, Switzerland. His professorship aims to advance cognitive computing research by utilizing soft computing methods and applying them in variousfields, supported by network industries like Swiss Post. The focus is on enhancing user experiences, particularly in the context of smart and cognitive cities, through improved interaction, learning, and integration of computing with words and perceptions. Additional areas of interest include knowledge aggregation, automation, representation, reasoning using fuzzy cognitive maps and ontologies, as well as big data analytics and management utilizing fuzzy methods and systems.