| 书目名称 | Rough Sets and Current Trends in Computing | | 副标题 | 4th International Co | | 编辑 | Shusaku Tsumoto,Roman Słowiński,Jerzy W. Grzymała- | | 视频video | | | 概述 | Includes supplementary material: | | 丛书名称 | Lecture Notes in Computer Science | | 图书封面 |  | | 描述 | In recent years rough set theory has attracted the attention of many researchers and practitioners all over the world, who have contributed essentially to its development and applications. Weareobservingagrowingresearchinterestinthefoundationsofroughsets, including the various logical, mathematical and philosophical aspects of rough sets. Some relationships have already been established between rough sets and other approaches, and also with a wide range of hybrid systems. As a result, rough sets are linked with decision system modeling and analysis of complex systems, fuzzy sets, neural networks, evolutionary computing, data mining and knowledge discovery, pattern recognition, machine learning, and approximate reasoning. In particular, rough sets are used in probabilistic reasoning, granular computing (including information granule calculi based on rough mereology), intelligent control, intelligent agent modeling, identi?cation of autonomous s- tems, and process speci?cation. Methods based on rough set theory alone or in combination with other - proacheshavebeendiscoveredwith awide rangeofapplicationsinsuchareasas: acoustics, bioinformatics, business and ?nance, chemistry, computer | | 出版日期 | Conference proceedings 20041st edition | | 关键词 | Alignment; Pattern Mining; algorithms; bioinformatics; database; decision making; evolutionary algorithm; e | | 版次 | 1 | | doi | https://doi.org/10.1007/b97961 | | isbn_softcover | 978-3-540-22117-3 | | isbn_ebook | 978-3-540-25929-9Series ISSN 0302-9743 Series E-ISSN 1611-3349 | | issn_series | 0302-9743 | | copyright | Springer-Verlag Berlin Heidelberg 2004 |
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发表于 2025-3-21 17:22:06
