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.

New Approach

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.

Additional Features

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.