Description
| Product ID: | 9783319513690 |
| Product Form: | Hardback |
| Country of Manufacture: | CH |
| Title: | Uncertain Rule-Based Fuzzy Systems |
| Subtitle: | Introduction and New Directions, 2nd Edition |
| Authors: | Author: Jerry M. Mendel |
| Page Count: | 684 |
| Subjects: | Mathematical modelling, Mathematical modelling, Artificial intelligence, Artificial intelligence |
| Description: | Select Guide Rating 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 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. |
| Imprint Name: | Springer International Publishing AG |
| Publisher Name: | Springer International Publishing AG |
| Country of Publication: | GB |
| Publishing Date: | 2017-05-29 |
