書目名稱 | Rough Sets, Fuzzy Sets and Knowledge Discovery | 副標(biāo)題 | Proceedings of the I | 編輯 | Wojciech P. Ziarko | 視頻video | http://file.papertrans.cn/832/831924/831924.mp4 | 叢書名稱 | Workshops in Computing | 圖書封面 |  | 描述 | The objective of this book is two-fold. Firstly, it is aimed at bringing to- gether key research articles concerned with methodologies for knowledge discovery in databases and their applications. Secondly, it also contains articles discussing fundamentals of rough sets and their relationship to fuzzy sets, machine learning, management of uncertainty and systems of logic for formal reasoning about knowledge. Applications of rough sets in different areas such as medicine, logic design, image processing and expert systems are also represented. The articles included in the book are based on selected papers presented at the International Workshop on Rough Sets and Knowledge Discovery held in Banff, Canada in 1993. The primary methodological approach emphasized in the book is the mathematical theory of rough sets, a relatively new branch of mathematics concerned with the modeling and analysis of classification problems with imprecise, uncertain, or incomplete information. The methods of the theory of rough sets have applications in many sub-areas of artificial intelligence including knowledge discovery, machine learning, formal reasoning in the presence of uncertainty, knowledge acquisit | 出版日期 | Conference proceedings 1994 | 關(guān)鍵詞 | Extension; cognition; decision problem; decision support; expert system; fuzzy sets; image processing; imag | 版次 | 1 | doi | https://doi.org/10.1007/978-1-4471-3238-7 | isbn_softcover | 978-3-540-19885-7 | isbn_ebook | 978-1-4471-3238-7Series ISSN 1431-1682 | issn_series | 1431-1682 | copyright | British Computer Society 1994 |
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