书目名称 | Rough Set Theory and Granular Computing |
编辑 | Masahiro Inuiguchi,Shoji Hirano,Shusaku Tsumoto |
视频video | |
概述 | Recent research and applications in rough set theory and granular computing.Includes supplementary material: |
丛书名称 | Studies in Fuzziness and Soft Computing |
图书封面 |  |
描述 | After 20 years of pursuing rough set theory and its applications a look on its present state and further prospects is badly needed. The monograph Rough Set Theory and Granular Computing edited by Masahiro Inuiguchi, Shoji Hirano and Shusaku Tsumoto meets this demand. It presents the newest developments in this area and gives fair picture of the state of the art in this domain. Firstly, in the keynote papers by Zdzislaw Pawlak, Andrzej Skowron and Sankar K. Pal the relationship of rough sets with other important methods of data analysis -Bayes theorem, neuro computing and pattern recognitio- is thoroughly examined. Next, several interesting generalizations of the the ory and new directions of research are presented. Furthermore application of rough sets in data mining, in particular, rule induction methods based on rough set theory is presented and discussed. Further important issue dis cussed in the monograph is rough set based data analysis, including study of decisions making in conflict situations. Last but not least, some recent engi neering applications of rough set theory are given. They include a proposal of rough set processor architecture organization for fast implement |
出版日期 | Book 2003 |
关键词 | algorithms; architecture; calculus; clustering; data analysis; data mining; fuzzy; image processing; informa |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-540-36473-3 |
isbn_softcover | 978-3-642-05614-7 |
isbn_ebook | 978-3-540-36473-3Series ISSN 1434-9922 Series E-ISSN 1860-0808 |
issn_series | 1434-9922 |
copyright | Springer-Verlag Berlin Heidelberg 2003 |