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Incomplete Information System and Rough Set Theory

Incomplete Information System and Rough Set Theory

Jingyu Yang / Xibei Yang

48,06 €
IVA incluido
Disponible
Editorial:
Springer Nature B.V.
Año de edición:
2012
Materia
Ciencias de la computación
ISBN:
9783642259364
48,06 €
IVA incluido
Disponible

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'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.

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  • Incomplete Information System and Rough Set Theory
    Jingyu Yang / Xibei Yang
    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 Rou...