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Uncertain Rule-based Fuzzy Logic Systems : Introduction and New Directions (Hardcover) (Jerry Mendel)
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The second edition of this textbook provides a fully updated approach to fuzzy sets and systems that can model uncertainty — ie “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. 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-logic 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 using MatLab Software to complement the content and how m-files can be accessed. The book features a full suite of classroom material.