Rough data and applications of rough data law

S-rough sets (singular rough sets) theory was proposed by improving Z. Pawlak rough sets theory. S-rough sets have dynamic characteristics, since it is defined by R-element equivalence class [x] which has dynamic characteristic. The concept of rough data was presented by employing S-rough sets, and...

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Bibliographic Details
Published in2010 International Conference on Educational and Network Technology pp. 361 - 365
Main Authors Lu Changjing, Qiu Jinming, Shi Kaiquan
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2010
Subjects
Application software
applications
Character generation
Computer science
dual of one direction S-rough sets
Educational technology
Electronic mail
Investments
Mathematics
one direction S-rough sets
Polynomials
rough data
rough data law
Rough sets
Transfer functions
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Summary:S-rough sets (singular rough sets) theory was proposed by improving Z. Pawlak rough sets theory. S-rough sets have dynamic characteristics, since it is defined by R-element equivalence class [x] which has dynamic characteristic. The concept of rough data was presented by employing S-rough sets, and rough data has dynamic characteristic, furthermore, the rough data law generation is given. Based on the concepts above, the generation theorem and the reversion theorem of rough data law, the recognition criterion of rough data law, and the discernible theorem of rough data law were given, finally the applications of rough data law in risk investment system are presented.
ISBN:9781424476602
1424476607
DOI:10.1109/ICENT.2010.5532146