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Fuzzy logic : an introductory course for engineering students /

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 introd...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Trillas, E. (Enric) (Autor), Eciolaza, Luka (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer, 2015.
Colección:Studies in fuzziness and soft computing ; volume 320.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Trillas, E.  |q (Enric),  |e author. 
245 1 0 |a Fuzzy logic :  |b an introductory course for engineering students /  |c Enric Trillas, Luka Eciolaza. 
264 1 |a Cham :  |b Springer,  |c 2015. 
264 4 |c ©2015 
300 |a 1 online resource (xi, 204 pages) :  |b illustrations (some color) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Studies in Fuzziness and Soft Computing,  |x 1434-9922 ;  |v volume 320 
504 |a Includes bibliographical references. 
588 0 |a Online resource; title from PDF title page (SpringerLink, viewed February 2, 2015). 
505 0 |a 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. 
520 |a 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. 
546 |a English. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Fuzzy logic. 
650 0 |a Fuzzy systems. 
650 4 |a Engineering & Applied Sciences. 
650 4 |a Computer Science. 
650 1 4 |a Engineering. 
650 2 4 |a Computational Intelligence. 
650 2 4 |a Symbolic and Algebraic Manipulation. 
650 2 4 |a Control. 
650 6 |a Logique floue. 
650 6 |a Systèmes flous. 
650 7 |a Maths for computer scientists.  |2 bicssc 
650 7 |a Automatic control engineering.  |2 bicssc 
650 7 |a Artificial intelligence.  |2 bicssc 
650 7 |a Computers  |x Data Processing.  |2 bisacsh 
650 7 |a Technology & Engineering  |x Automation.  |2 bisacsh 
650 7 |a Computers  |x Intelligence (AI) & Semantics.  |2 bisacsh 
650 7 |a Fuzzy logic  |2 fast 
650 7 |a Fuzzy systems  |2 fast 
700 1 |a Eciolaza, Luka,  |e author. 
758 |i has work:  |a Fuzzy logic (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCFRFMh6MWjqGxGYRHvgxWC  |4 https://id.oclc.org/worldcat/ontology/hasWork 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319142029 
830 0 |a Studies in fuzziness and soft computing ;  |v volume 320.  |x 1434-9922 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=6295216  |z Texto completo 
880 8 |6 505-00/(S  |a 4.3 Which Relevant Properties Do Have a Fuzzy Binary Relation4.4 The Concept of T-State; 4.5 Fuzzy relations and α-cuts; 5 T-Preorders and T-Indistinguishabilities; 5.1 Which Is the Aim of This Section; 5.2 The Characterization of T-Preorders; 5.3 The Characterization of T-Indistinguishabilities; 6 Fuzzy Arithmetic; 6.1 Introduction; 6.2 Fuzzy Numbers; 6.2.1 Operations with Fuzzy Numbers; 6.2.2 Operations with Triangular Fuzzy Numbers; 6.2.3 Note; 6.3 A Note on the Lattice of Fuzzy Numbers; 6.3.1 Example; 6.4 A Note on Fuzzy Quantifiers; 6.4.1 Quantified Fuzzy Statements; 7 Fuzzy Measures 
880 8 |6 505-00/(S  |a 7.1 Introduction7.2 The Concept of a Measure; 7.3 Types of Measures; 7.4 λ-Measures; 7.5 Measures of Possibility and Necessity; 7.6 Examples; 7.7 Probability, Possibility and Necessity; 7.8 Probability of Fuzzy Sets; 8 An Introduction to Fuzzy Control; 8.1 Introduction; 8.1.1 Note; 8.2 Revising Conditional and Implications in Fuzzy Control; 8.2.1 Inference from Imprecise Rules; 8.2.2 Takagi-Sugeno of Order 1; 8.3 Control of Nonlinear Systems; 8.3.1 State-Space Representation; 8.3.2 Takagi-Sugeno Models for Control of Nonlinear Systems; 8.3.3 Stability Analysis 
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