Uncertain Rule-Based Fuzzy Systems: Introduction and New Directions, 2nd Edition
Jerry M. Mendel, University of Southern California
Springer International Publishing, 2017
ISBN: 978-3-319-51369-0;
Language: English
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.
Select a Web Site
Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .
You can also select a web site from the following list
How to Get Best Site Performance
Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.
Americas
- América Latina (Español)
- Canada (English)
- United States (English)
Europe
- Belgium (English)
- Denmark (English)
- Deutschland (Deutsch)
- España (Español)
- Finland (English)
- France (Français)
- Ireland (English)
- Italia (Italiano)
- Luxembourg (English)
- Netherlands (English)
- Norway (English)
- Österreich (Deutsch)
- Portugal (English)
- Sweden (English)
- Switzerland
- United Kingdom (English)