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Rough Sets And Current Trends In Computing: 4th International Conference, Rsctc 2004, Uppsala, Sweden, June 1 5, 2004, Proceedings (Lecture Notes In Computer Science)

Rough Sets And Current Trends In Computing: 4th International Conference, Rsctc 2004, Uppsala, Sweden, June 1 5, 2004, Proceedings (Lecture Notes In Computer Science)

Shusaku Tsumoto
3/5 ( ratings)
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 , 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 engineering , de- sion analysis and systems, economics, electrical engineering , environmental studies, informatics, medicine, mole- lar biology, musicology, neurology, robotics, social science, software engineering, spatial visualization, Web engineering, and Web mining.
Language
English
Pages
860
Format
Paperback
Publisher
Springer
Release
May 21, 2004
ISBN
3540221174
ISBN 13
9783540221173

Rough Sets And Current Trends In Computing: 4th International Conference, Rsctc 2004, Uppsala, Sweden, June 1 5, 2004, Proceedings (Lecture Notes In Computer Science)

Shusaku Tsumoto
3/5 ( ratings)
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 , 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 engineering , de- sion analysis and systems, economics, electrical engineering , environmental studies, informatics, medicine, mole- lar biology, musicology, neurology, robotics, social science, software engineering, spatial visualization, Web engineering, and Web mining.
Language
English
Pages
860
Format
Paperback
Publisher
Springer
Release
May 21, 2004
ISBN
3540221174
ISBN 13
9783540221173

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