| 書目名稱 | Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing | | 副標題 | 10th International C | | 編輯 | Dominik ?l?zak,JingTao Yao,Xiaohua Hu | | 視頻video | http://file.papertrans.cn/832/831929/831929.mp4 | | 叢書名稱 | Lecture Notes in Computer Science | | 圖書封面 |  | | 描述 | This volume contains the papers selected for presentation at the 10th Int- national Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005, organized at the University of Regina, August 31st–September 3rd, 2005. This conference followed in the footsteps of inter- tional events devoted to the subject of rough sets, held so far in Canada, China, Japan,Poland,Sweden, and the USA. RSFDGrC achievedthe status of biennial international conference, starting from 2003 in Chongqing, China. The theory of rough sets, proposed by Zdzis law Pawlak in 1982, is a model of approximate reasoning. The main idea is based on indiscernibility relations that describe indistinguishability of objects. Concepts are represented by - proximations. In applications, rough set methodology focuses on approximate representation of knowledge derivable from data. It leads to signi?cant results in many areas such as ?nance, industry, multimedia, and medicine. The RSFDGrC conferences put an emphasis on connections between rough sets and fuzzy sets, granularcomputing, and knowledge discoveryand data m- ing, both at the level of theoretical foundations and real-life applications. In the | | 出版日期 | Conference proceedings 2005 | | 關鍵詞 | artificial intelligence; cognition; data mining; evolution; evolutionary computation; fuzzy; information s | | 版次 | 1 | | doi | https://doi.org/10.1007/11548706 | | isbn_softcover | 978-3-540-28660-8 | | isbn_ebook | 978-3-540-31824-8Series ISSN 0302-9743 Series E-ISSN 1611-3349 | | issn_series | 0302-9743 | | copyright | Springer-Verlag Berlin Heidelberg 2005 |
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書目名稱Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing被引頻次
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