Uncertain Rule-Based Fuzzy Systems: Introduction and New Directions, 2nd Edition

Mendel, Jerry M.

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.

Details

Published by: Springer

Publication Date: 2018-07-28

Format: Paperback

ISBN-13: 9783319846323

DOI: 10.1007/978-3-319-51370-6

Dimensions: 235cm x155cm

Pages: 684