Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions

By Jerry M. Mendel

Book Overview

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.

• Format: Paperback
• Language: English
• ISBN: 3319846329
• ISBN13: 9783319846323
• Release Date: July 2018
• Publisher: Springer
• Length: 684 Pages
• Weight: 2.15 lbs.
• Dimensions: 1.4" x 6.1" x 9.2"