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Incomplete Information System and Rough Set Theory : Models and Attribute Reductions / by Xibei Yang, Jingyu Yang.
- Format:
- Book
- Author/Creator:
- Yang, Xibei, author.
- Yang, Jingyu, author.
- Series:
- Computer Science (Springer-11645)
- Language:
- English
- Subjects (All):
- Data mining.
- Computers.
- Artificial intelligence.
- Database management.
- Logic, Symbolic and mathematical.
- Data Mining and Knowledge Discovery.
- Models and Principles.
- Artificial Intelligence.
- Database Management.
- Mathematical Logic and Formal Languages.
- Local Subjects:
- Data Mining and Knowledge Discovery.
- Models and Principles.
- Artificial Intelligence.
- Database Management.
- Mathematical Logic and Formal Languages.
- Physical Description:
- 1 online resource (XIV, 232 pages)
- Edition:
- First edition 2012.
- Contained In:
- Springer eBooks
- Place of Publication:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
- System Details:
- text file PDF
- Summary:
- "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.
- Contents:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-642-25935-7
- 9783642259357
- Access Restriction:
- Restricted for use by site license.
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