Uncertain Rule-Based Fuzzy Systems Introduction and New Directions, 2nd Edition /

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 applicat...

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Detaylı Bibliyografya
Yazar: Mendel, Jerry M. (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2017.
Imprint: Springer,
Edisyon:2nd ed. 2017.
Konular:
Telecommunication.
Computational intelligence.
Artificial intelligence.
Neural networks (Computer science) .
Communications Engineering, Networks.
Computational Intelligence.
Artificial Intelligence.
Mathematical Models of Cognitive Processes and Neural Networks.
Online Erişim:Full-text access
Diğer Bilgiler
Özet: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.
Fiziksel Özellikler:XXII, 684 p. 215 illus., 192 illus. in color. online resource.
ISBN:9783319513706
DOI:10.1007/978-3-319-51370-6

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