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

Yang, Xibei/ Yang, Jingyu

ISBN 10: 3642259340 / ISBN 13: 9783642259340

Published by Springer-Verlag New York Inc, 2012

About this Item

2012 edition. 246 pages. 9.50x6.25x0.75 inches. In Stock.

Seller Inventory # x-3642259340

Bibliographic Details

• Title: Incomplete Information System and Rough Set Theory: Models and Attribute Reductions
• Publisher: Springer-Verlag New York Inc
• Publication Date: 2012
• Language: English
• ISBN 10: 3642259340
• ISBN 13: 9783642259340
• Binding: Hardcover
• Condition: Brand New
• Weight: 0.48 kilograms

About this title

Synopsis

"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.