| 書目名稱 | Fuzzy Rule-Based Inference |
| 副標(biāo)題 | Advances and Applica |
| 編輯 | Fangyi Li,Qiang Shen |
| 視頻video | http://file.papertrans.cn/352/351344/351344.mp4 |
| 概述 | Covers state-of-the-art research of approximate reasoning systems.A self-contained tutorial of and fundamental reference to fuzzy rule-based inference.Provides an integrated suite of weighted approxim |
| 圖書封面 |  |
| 描述 | .This book covers a comprehensive approach to the development and application of a suite of novel algorithms for practical approximate knowledge-based inference. It includes an introduction to the fundamental concepts of fuzzy sets, fuzzy logic, and fuzzy inference. Collectively, this book provides a systematic tutorial and self-contained reference to recent advances in the field of fuzzy rule-based inference.?..?..Approximate reasoning systems facilitate inference by utilizing fuzzy if-then production rules for decision-making under circumstances where knowledge is imprecisely characterized. Compositional rule of inference (CRI) and fuzzy rule interpolation (FRI) are two typical techniques used to implement such systems. The question of when to apply these potentially powerful reasoning techniques via automated computation procedures is often addressed by checking whether certain rules can match given observations. Both techniques have been widely investigated to enhance the performance of approximate reasoning. Increasingly more attention has been paid to the development of systems where rule antecedent attributes are associated with measures of their relative significance or wei |
| 出版日期 | Book 2024 |
| 關(guān)鍵詞 | Interpretable Approximate Reasoning; Practical Fuzzy Inference; Fuzzy Rule Interpolation; Attribute Wei |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-97-0491-0 |
| isbn_softcover | 978-981-97-0493-4 |
| isbn_ebook | 978-981-97-0491-0 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
|Archiver|手機版|小黑屋|
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