| 书目名称 | Incomplete Information: Rough Set Analysis |
| 编辑 | Ewa Orłowska |
| 视频video | http://file.papertrans.cn/464/463324/463324.mp4 |
| 概述 | An up-to-date and highly authoritative account of the current status of the basic theory, extensions and applications of rough sets.A must reading for anyone who has a serious interest in information |
| 丛书名称 | Studies in Fuzziness and Soft Computing |
| 图书封面 |  |
| 描述 | In 1982, Professor Pawlak published his seminal paper on what he called "rough sets" - a work which opened a new direction in the development of theories of incomplete information. Today, a decade and a half later, the theory of rough sets has evolved into a far-reaching methodology for dealing with a wide variety of issues centering on incompleteness and imprecision of information - issues which playa key role in the conception and design of intelligent information systems. "Incomplete Information: Rough Set Analysis" - or RSA for short - presents an up-to-date and highly authoritative account of the current status of the basic theory, its many extensions and wide-ranging applications. Edited by Professor Ewa Orlowska, one of the leading contributors to the theory of rough sets, RSA is a collection of nineteen well-integrated chapters authored by experts in rough set theory and related fields. A common thread that runs through these chapters ties the concept of incompleteness of information to those of indiscernibility and similarity. |
| 出版日期 | Book 1998 |
| 关键词 | algorithms; artificial intelligence; calculus; classification; fuzzy; incomplete information; information; |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-7908-1888-8 |
| isbn_softcover | 978-3-7908-2457-5 |
| isbn_ebook | 978-3-7908-1888-8Series ISSN 1434-9922 Series E-ISSN 1860-0808 |
| issn_series | 1434-9922 |
| copyright | Springer-Verlag Berlin Heidelberg 1998 |
|Archiver|手机版|小黑屋|
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