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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.
| Autorius: | Jerry M. Mendel |
| Leidėjas: | Springer Nature Switzerland |
| Išleidimo metai: | 2018 |
| Knygos puslapių skaičius: | 708 |
| ISBN-10: | 3319846329 |
| ISBN-13: | 9783319846323 |
| Formatas: | 235 x 155 x 38 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Uncertain Rule-Based Fuzzy Systems: Introduction and New Directions, 2nd Edition“
