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Autore: | Mendel Jerry M |
Titolo: | Uncertain Rule-Based Fuzzy Systems : Introduction and New Directions, 2nd Edition / / by Jerry M. Mendel |
Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Edizione: | 2nd ed. 2017. |
Descrizione fisica: | 1 online resource (XXII, 684 p. 215 illus., 192 illus. in color.) |
Disciplina: | 511.313 |
Soggetto topico: | Electrical engineering |
Computational intelligence | |
Artificial intelligence | |
Neural networks (Computer science) | |
Communications Engineering, Networks | |
Computational Intelligence | |
Artificial Intelligence | |
Mathematical Models of Cognitive Processes and Neural Networks | |
Note generali: | Includes index. |
Nota di contenuto: | Introduction -- Part 1: Type-1 Fuzzy Sets and Systems -- Short Primers on Type-1 Fuzzy Sets and Fuzzy Logic -- Type-1 Fuzzy Logic Systems -- Part 2: Type-2 Fuzzy Sets -- Sources of Uncertainty -- Type-2 Fuzzy Sets -- Operations on and Properties OF Type-2 Fuzzy Sets -- Type-2 Relations and Compositions -- Centroid of a Type-2 Fuzzy Set: Type-Reduction -- Part 3: Type-2 Fuzzy Logic Systems -- Mamdani Interval Type-2 Fuzzy Logic Systems (IT2 FLSS) -- TSK Interval Type-2 Fuzzy Logic Systems -- General Type-2 Fuzzy Logic Systems (GT2 FLSS) -- Conclusion. |
Sommario/riassunto: | The second edition of this textbook provides a fully updated approach to fuzzy sets and systems that can model uncertainty — i.e., “type-2” fuzzy sets and systems. The author demonstrates how to overcome the limitations of classical fuzzy sets and systems, enabling a wide range of applications from time-series forecasting to knowledge mining to control. In this new edition, a bottom-up approach is presented that begins by introducing classical (type-1) fuzzy sets and systems, and then explains how they can be modified to handle uncertainty. The author covers fuzzy rule-based systems – from type-1 to interval type-2 to general type-2 – in one volume. For hands-on experience, the book provides information on accessing MatLab and Java software to complement the content. The book features a full suite of classroom material. Presents fully updated material on new breakthroughs in human-inspired rule-based techniques for handling real-world uncertainties; Allows those already familiar with type-1 fuzzy sets and systems to rapidly come up to speed to type-2 fuzzy sets and systems; Features complete classroom material including end-of-chapter exercises, a solutions manual, and three case studies -- forecasting of time series to knowledge mining from surveys and PID control. |
Titolo autorizzato: | Uncertain Rule-Based Fuzzy Systems |
ISBN: | 3-319-51370-2 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910254328903321 |
Lo trovi qui: | Univ. Federico II |
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