| 書目名稱 | Interpretability Issues in Fuzzy Modeling |
| 編輯 | Jorge Casillas,Oscar Cordón,Luis Magdalena |
| 視頻video | http://file.papertrans.cn/473/472697/472697.mp4 |
| 概述 | Focused on interpretability in fuzzy models.Reader will acquire a deep knowledge on practical topics such as system identification with fuzzy systems and interpretability.State of the art on the trade |
| 叢書名稱 | Studies in Fuzziness and Soft Computing |
| 圖書封面 |  |
| 描述 | .Fuzzy modeling has become one of the most productive and successful results of fuzzy logic. Among others, it has been applied to knowledge discovery, automatic classification, long-term prediction, or medical and engineering analysis. The research developed in the topic during the last two decades has been mainly focused on exploiting the fuzzy model flexibility to obtain the highest accuracy. This approach usually sets aside the interpretability of the obtained models. However, we should remember the initial philosophy of fuzzy sets theory directed to serve the bridge between the human understanding and the machine processing. In this challenge, the ability of fuzzy models to express the behavior of the real system in a comprehensible manner acquires a great importance. This book collects the works of a group of experts in the field that advocate the interpretability improvements as a mechanism to obtain well balanced fuzzy models.. |
| 出版日期 | Book 2003 |
| 關(guān)鍵詞 | automatic classification; classification; complexity; computer-aided design (CAD); fuzzy; fuzzy logic; fuz |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-540-37057-4 |
| isbn_softcover | 978-3-642-05702-1 |
| isbn_ebook | 978-3-540-37057-4Series ISSN 1434-9922 Series E-ISSN 1860-0808 |
| issn_series | 1434-9922 |
| copyright | Springer-Verlag Berlin Heidelberg 2003 |
|Archiver|手機版|小黑屋|
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