Incomplete Information System and Rough Set Theory: Models and Attribute Reductions
Autor Xibei Yang, Jingyu Yangen Limba Engleză Hardback – 7 mai 2012
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.
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Specificații
ISBN-13: 9783642259340
ISBN-10: 3642259340
Pagini: 225
Ilustrații: XIV, 232 p.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.48 kg
Ediția:2012
Editura: Springer Berlin, Heidelberg
Colecția Springer
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642259340
Pagini: 225
Ilustrații: XIV, 232 p.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.48 kg
Ediția:2012
Editura: Springer Berlin, Heidelberg
Colecția Springer
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
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.
Caracteristici
Considers not only the regular attributes but also the criteria in the incomplete information systems Presents most of the important rough set models in the incomplete information systems Addresses the practical approaches to compute reducts in terms of these models