| 书目名称 | Fuzziness in Information Systems |
| 副标题 | How to Deal with Cri |
| 编辑 | Miroslav Hudec |
| 视频video | |
| 概述 | Explains the application of fuzzy approaches for classical relational databases and information systems.Details important application aspects like fuzzy queries, fuzzy inference, and linguistic summar |
| 图书封面 |  |
| 描述 | This book is an essential contribution to the description of fuzziness in information systems. Usually users want to retrieve data or summarized information from a database and are interested in classifying it or building rule-based systems on it. But they are often not aware of the nature of this data and/or are unable to determine clear search criteria. The book examines theoretical and practical approaches to fuzziness in information systems based on statistical data related to territorial units..Chapter 1 discusses the theory of fuzzy sets and fuzzy logic to enable readers to understand the information presented in the book. Chapter 2 is devoted to flexible queries and includes issues like constructing fuzzy sets for query conditions, and aggregation operators for commutative and non-commutative conditions, while Chapter 3 focuses on linguistic summaries. Chapter 4 presents fuzzy logic control architecture adjusted specifically for the aims of business and governmental agencies, and shows fuzzy rules and procedures for solving inference tasks. Chapter 5 covers the fuzzification of classical relational databases with an emphasis on storing fuzzy data in classical relational data |
| 出版日期 | Book 2016 |
| 关键词 | Vagueness and fuzzy logic; Artificial Intelligence; Multilingual text search; Multilingual summaries; Lo |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-42518-4 |
| isbn_softcover | 978-3-319-82598-4 |
| isbn_ebook | 978-3-319-42518-4 |
| copyright | Springer International Publishing Switzerland 2016 |
发表于 2025-3-21 17:33:57
