Uncertain rule-based fuzzy systems : introduction and new directions / Jerry M. Mendel.
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...
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| Main Author: | |
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| Format: | Ebook |
| Language: | English |
| Published: |
Cham, Switzerland :
Springer,
2017.
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| Edition: | Second edition. |
| Subjects: | |
| Online Access: | Springer eBooks |
| Summary: | 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. |
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| Physical Description: | 1 online resource (xxii, 684 pages) : illustrations (some colour) |
| Format: | Mode of access: World Wide Web. |
| ISBN: | 3319513702 9783319513706 |