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Incomplete Information System and Rough Set Theory

Models and Attribute Reductions

Specificaties
Gebonden, 232 blz. | Engels
Springer Berlin Heidelberg | 2012e druk, 2012
ISBN13: 9783642259340
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Juridisch :
Springer Berlin Heidelberg 2012e druk, 2012 9783642259340
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Samenvatting

"Incomplete Information System and Rough Set Theory: Models and Attribute Reductions" covers theoretical study of generalizations of rough set model in various incomplete information systems. It discusses not only the regular attributes but also the criteria in the incomplete information systems. Based on different types of rough set models, the book presents the practical approaches to compute several reducts in terms of these models. The book is intended for researchers and postgraduate students in machine learning, data mining and knowledge discovery, especially for those who are working in rough set theory, and granular computing.

Dr. Xibei Yang is a lecturer at the School of Computer Science and Engineering, Jiangsu University of Science and Technology, China; Jingyu Yang is a professor at the School of Computer Science, Nanjing University of Science and Technology, China.

Specificaties

ISBN13:9783642259340
Taal:Engels
Bindwijze:gebonden
Aantal pagina's:232
Uitgever:Springer Berlin Heidelberg
Druk:2012

Inhoudsopgave

Part 1 Rough Sets in Complete Information System.- Indiscernibility Relation Based Rough Sets.- Dominance-based Rough Set Approach.- Part 2 Incomplete Information System with Unknown Values.- Generalized Binary Relations Based Rough sets.- Neighborhood Systems and Rough Sets.- Dominance-based Rough Set in incomplete system with “do not care” unknown values.- Dominance-based Rough Set in incomplete system with lost unknown values.- Rough Sets in Generalized Incomplete Information System.- Part 3 Set-valued And Interval-valued Information Systems.- Rough Sets And Dominance-based Rough Sets in Set-valued Information System.- Rough Sets And Dominance-based Rough Sets in Interval-valued Information System.

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        Incomplete Information System and Rough Set Theory