Erschienen: 24.11.2016 Abbildung von Mendel | Uncertain Rule-Based Fuzzy Systems | 2nd ed. 2017 | 2017 | Introduction and New Direction...


Uncertain Rule-Based Fuzzy Systems

Introduction and New Directions, 2nd Edition

2nd ed. 2017 2017. Buch. xxii, 684 S. 23 s/w-Abbildungen, 192 Farbabbildungen, 187 Farbtabellen, Bibliographien. Hardcover

Springer. ISBN 978-3-319-51369-0

Format (B x L): 15,5 x 23,5 cm

Gewicht: 1546 g

In englischer Sprache


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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