| 书目名称 | Uncertainty Data in Interval-Valued Fuzzy Set Theory |
| 副标题 | Properties, Algorith |
| 编辑 | Barbara Pękala |
| 视频video | |
| 概述 | Focuses on interval-valued fuzzy aggregations, and its importance for solving multi criteria decision making problems.Describes fuzzy set based methods for dealing with incomplete knowledge.Highlights |
| 丛书名称 | Studies in Fuzziness and Soft Computing |
| 图书封面 |  |
| 描述 | This book offers an introduction to fuzzy sets theory and their operations, with a special focus on aggregation and negation functions. Particular attention is given to interval-valued fuzzy sets and Atanassov’s intuitionistic fuzzy sets and their use in uncertainty models involving imperfect or unknown information. The theory and application of interval-values fuzzy sets to various decision making problems represent the central core of this book, which describes in detail aggregation operators and their use with imprecise data represented as intervals. Interval-valued fuzzy relations, compatibility measures of interval and the transitivity property are thoroughly covered. With its good balance between theoretical considerations and applications of originally developed algorithms to real-world problem, the book offers a timely, inspiring guide to mathematicians and engineers developing new decision making models or implementing/applying existing ones to a wide range of applications involving imprecise or incomplete data. |
| 出版日期 | Book 2019 |
| 关键词 | Interval-Valued Fuzzy Aggregations; Decision Making Using Preference; Interval-Valued Fuzzy Relations; |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-93910-0 |
| isbn_softcover | 978-3-030-06743-4 |
| isbn_ebook | 978-3-319-93910-0Series ISSN 1434-9922 Series E-ISSN 1860-0808 |
| issn_series | 1434-9922 |
| copyright | Springer Nature Switzerland AG 2019 |
发表于 2025-3-21 16:45:38
