| 书目名称 | How Fuzzy Concepts Contribute to Machine Learning |
| 编辑 | Mahdi Eftekhari,Adel Mehrpooya,Vicenç Torra |
| 视频video | |
| 概述 | Recent research on the application of fuzzy and hesitant fuzzy sets in machine learning tasks.Shows how fuzzy concepts can be used to solve multi-criteria decision making challenges raised in machine |
| 丛书名称 | Studies in Fuzziness and Soft Computing |
| 图书封面 |  |
| 描述 | This book introduces some contemporary approaches on the application of fuzzy and hesitant fuzzy sets in machine learning tasks such as classification, clustering and dimension reduction. Many situations arise in machine learning algorithms in which applying methods for uncertainty modeling and multi-criteria decision making can lead to a better understanding of algorithms behavior as well as achieving good performances. Specifically, the present book is a collection of novel viewpoints on how fuzzy and hesitant fuzzy concepts can be applied to data uncertainty modeling as well as being used to solve multi-criteria decision making challenges raised in machine learning problems. Using the multi-criteria decision making framework, the book shows how different algorithms, rather than human experts, are employed to determine membership degrees. The book is expected to bring closer the communities of pure mathematicians of fuzzy sets and data scientists. . |
| 出版日期 | Book 2022 |
| 关键词 | Fuzzy Concepts; Machine Learning; Fuzzy Sets; Hesitant Fuzzy Sets; Data Uncertainty Modeling |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-94066-9 |
| isbn_softcover | 978-3-030-94068-3 |
| isbn_ebook | 978-3-030-94066-9Series ISSN 1434-9922 Series E-ISSN 1860-0808 |
| issn_series | 1434-9922 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 17:52:15
