eNewsletter

New Book: "Uncertain Rule-Based Fuzzy Systems Introduction and New Directions, 2nd Edition" by Prof. Jerry M. Mendel

Presents fully updated material on new breakthroughs in human-inspired rule-based techniques for handling real-world uncertainties.

ISBN: 978-3-319-51369-0
2017, Springer
684 pages, 215 illustrations, 192 illustrations in color
Hardcover, $119.00
eBook is available
MyCopy is also available

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 more than 250 end-of-chapter exercises, a solutions manual (soon to be available), and three case studies - forecasting of time series, knowledge mining from surveys, and PID control

Table of Contents

  • Chapter 1: Introduction
  • Chapter 2: Type-1 Fuzzy Sets and Fuzzy Logic
  • Chapter 3: Type-1 Fuzzy Systems
  • Chapter 4: Type-1 Fuzzy Systems: Design Methods and Applications
  • Chapter 5: Sources of Uncertainty
  • Chapter 6: Type-2 Fuzzy Sets
  • Chapter 7: Working with Type-2 Fuzzy Sets
  • Chapter 8: Type-Reduction
  • Chapter 9: Interval Type-2 Fuzzy Systems
  • Chapter 10: Interval Type-2 Fuzzy Systems: Design Methods and Applications
  • Chapter 11: General Type-2 Fuzzy Systems