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商品詳細
Fuzzy Systems, Soft Computing, and Explainable AI.
・ISBN 978-3-032-35458-7 paper EUR 219.99
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| 著者・編者 | Bede, Barnabas / Cohen, Kelly / Kreinovich, Vladik (eds.), |
|---|---|
| シリーズ | (Lecture Notes in Networks and Systems) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2026 |
| ページ数 | 515 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-84536＞ |
解説
This book is about techniques that can make AI more explainable.
While AI techniques have been spectacularly successful, they are not perfect: their answers are often wrong. To distinguish between great and flawed recommendations, it is desirable to make AI systems explain their recommendations.
This means translating numerical computations-that AI systems perform-into human-understandable natural-language form. It thus makes sense to use existing techniques-e.g., fuzzy-that connect numerical computations with natural language.
The use of fuzzy techniques to make AI explainable is the book's focus. This book contains both theoretical results and applications-to aerospace engineering, agriculture, biology, digital twins, education, law enforcement, medicine, etc. It can be recommended to students and practitioners interested in the state-of-the-art fuzzy-related explainable AI, and to researchers focused on remaining challenges.