| 书目名称 | Fuzzy Information Processing 2023 |
| 编辑 | Kelly Cohen,Nicholas Ernest,Vladik Kreinovich |
| 视频video | |
| 概述 | Describes latest developments in fuzzy techniques—a successful way to make AI explainable.Shows how fuzzy techniques can improve results of machine learning-type AI.Presents state-of-the-art applicati |
| 丛书名称 | Lecture Notes in Networks and Systems |
| 图书封面 |  |
| 描述 | .This book is an overview of latest successes and applications of fuzzy techniques—techniques that use expert knowledge formulated by natural-language words like "small". Engineering applications deal with aerospace (control of spacecrafts and unmanned aerial vehicles, air traffic control, airport passenger flow predictions), materials (designing gold nano-structures for medicine, catalysis, and sensors), and robot navigation and manipulation. Other application areas include cosmology, demographics, finances, wine production, medicine (diagnostics, epidemics control), and predicting human behavior.. In many cases, fuzzy techniques are combined with machine learning AI. Due to natural-language origin of fuzzy techniques, such combination adds explainability (X) to AI. This book is recommended to students and practitioners interested in the state-of-the-art fuzzy-related XAI and to researchers willing to take on numerous remaining challenges.. |
| 出版日期 | Conference proceedings 2023 |
| 关键词 | Fuzzy Systems; Soft Computing; Fuzzy Information Processing; Computational Intelligence; AI; NAFIPS; NAFIP |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-46778-3 |
| isbn_softcover | 978-3-031-46777-6 |
| isbn_ebook | 978-3-031-46778-3Series ISSN 2367-3370 Series E-ISSN 2367-3389 |
| issn_series | 2367-3370 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 16:36:42
