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Book Cover
Author Mendel, Jerry M., 1938- author

Title Uncertain rule-based fuzzy systems : introduction and new directions / Jerry M. Mendel
Edition Second edition
Published Cham, Switzerland : Springer, 2017


Description 1 online resource (xxii, 684 pages) : illustrations (some color)
Contents 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
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
Notes Online resource; title from PDF title page (SpringerLink, viewed May 31, 2017)
Subject Fuzzy systems.
Uncertainty (Information theory)
Artificial intelligence.
Mathematical modelling.
Communications engineering -- telecommunications.
Computers -- Intelligence (AI) & Semantics.
Mathematics -- Applied.
Technology & Engineering -- Telecommunications.
Fuzzy systems.
Uncertainty (Information theory)
Genre/Form Electronic book
Form Electronic book
ISBN 9783319513706