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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Full text (MCPHS users only) |
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| Main Authors: | , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer,
2015
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| Series: | Studies in fuzziness and soft computing ;
volume 320. |
| Subjects: | |
| Local Note: | ProQuest Ebook Central |
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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) | ||
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| 490 | 1 | |a Studies in Fuzziness and Soft Computing, |x 1434-9922 ; |v volume 320 | |
| 504 | |a Includes bibliographical references. | ||
| 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. | ||
| 588 | 0 | |a Online resource; title from PDF title page (SpringerLink, viewed February 2, 2015). | |
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Fuzzy logic. | |
| 650 | 0 | |a Fuzzy systems. | |
| 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 | ||
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| 830 | 0 | |a Studies in fuzziness and soft computing ; |v volume 320. |x 1434-9922 | |
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| 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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