| 書目名稱 | Interval-Valued Methods in Classifications and Decisions |
| 編輯 | Urszula Bentkowska |
| 視頻video | http://file.papertrans.cn/473/472931/472931.mp4 |
| 概述 | Offers a concise introduction to interval-valued fuzzy methods.Describes novel classification algorithms.Reports on new types of interval-valued aggregations |
| 叢書名稱 | Studies in Fuzziness and Soft Computing |
| 圖書封面 |  |
| 描述 | .This book describes novel algorithms based on interval-valued fuzzy methods that are expected to improve classification and decision-making processes under incomplete or imprecise information. At first, it introduces interval-valued fuzzy sets. It then discusses new methods for aggregation on interval-valued settings, and the most common properties of interval-valued aggregation operators. It then presents applications such as decision making using interval-valued aggregation, and classification in case of missing values. Interesting applications of the developed algorithms to DNA microarray analysis and in medical decision support systems are shown. The book is intended not only as a timely report for the community working on fuzzy sets and their extensions but also for researchers and practitioners dealing with the problems of uncertain or imperfect information.. |
| 出版日期 | Book 2020 |
| 關(guān)鍵詞 | Interval-valued Aggregations; Fuzzy Preference Relations; Classification in the Case of Missing Values |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-12927-9 |
| isbn_softcover | 978-3-030-12929-3 |
| isbn_ebook | 978-3-030-12927-9Series ISSN 1434-9922 Series E-ISSN 1860-0808 |
| issn_series | 1434-9922 |
| copyright | Springer Nature Switzerland AG 2020 |
|Archiver|手機版|小黑屋|
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