English | EPUB | 2017 | 684 Pages | ISBN : 3319513699 | 13.21 MB
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 -series forecasting to knowledge mining to control. In this new edition, a bottom-up approach is presented that bs 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.
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