Uncertain Rule-Based Fuzzy Systems: Introduction and New Directions, 2nd Edition
The second edition of Uncertain Rule-Based Fuzzy Systems: Introduction and New Directions 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 software to complement the content.
Online Teaching with MATLAB and Simulink
Whether you are transitioning a classroom course to a hybrid model, developing virtual labs, or launching a fully online program, MathWorks can help you foster active learning no matter where it takes place.