Incomplete Information System and Rough Set Theory: Models...

Incomplete Information System and Rough Set Theory: Models and Attribute Reductions

Xibei Yang, Jingyu Yang (auth.)
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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.

Категории:
Година:
2012
Издание:
1
Издателство:
Springer-Verlag Berlin Heidelberg
Език:
english
Страници:
232
ISBN 10:
3642259359
ISBN 13:
9783642259357
Файл:
PDF, 2.27 MB
IPFS:
CID , CID Blake2b
english, 2012
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Beware of he who would deny you access to information, for in his heart he dreams himself your master

Pravin Lal

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