| 书目名称 | Uncertain Rule-Based Fuzzy Systems |
| 副标题 | Introduction and New |
| 编辑 | Jerry M. Mendel |
| 视频video | |
| 概述 | Presents fully updated material on new breakthroughs in human-inspired rule-based techniques for handling real-world uncertainties.Allows those already familiar with type-1 fuzzy sets and systems to r |
| 图书封面 |  |
| 描述 | .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.. |
| 出版日期 | Textbook 20172nd edition |
| 关键词 | Fuzzy sets and systems; Type-1 fuzzy sets and fuzzy logic; Type-2 fuzzy sets and fuzzy logic; Fuzzy log |
| 版次 | 2 |
| doi | https://doi.org/10.1007/978-3-319-51370-6 |
| isbn_softcover | 978-3-319-84632-3 |
| isbn_ebook | 978-3-319-51370-6 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 17:35:16
