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Incomplete Information System and Rough Set Theory

Models and Attribute Reductions

By Xibei Yang , Jingyu Yang

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This study of the theory of generalizations of rough-set models in incomplete information systems discusses not only the regular attributes but also the criteria in these systems, and presents practical approaches to computing a number of reducts.

Full Description

  • ISBN13: 978-3-6422-5934-0
  • 248 Pages
  • User Level: Science
  • Publication Date: December 15, 2012
  • Available eBook Formats: PDF
  • eBook Price: $109.00
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Full Description
'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.
Table of Contents

Table of Contents

  1. Part 1 Rough Sets in Complete Information System.
  2. Indiscernibility Relation Based Rough Sets.
  3. Dominance
  4. based Rough Set Approach.
  5. Part 2 Incomplete Information System with Unknown Values.
  6. Generalized Binary Relations Based Rough sets.
  7. Neighborhood Systems and Rough Sets.
  8. Dominance
  9. based Rough Set in incomplete system with “do not care” unknown values.
  10. Dominance
  11. based Rough Set in incomplete system with lost unknown values.
  12. Rough Sets in Generalized Incomplete Information System.
  13. Part 3 Set
  14. valued And Interval
  15. valued Information Systems.
  16. Rough Sets And Dominance
  17. based Rough Sets in Set
  18. valued Information System.
  19. Rough Sets And Dominance
  20. based Rough Sets in Interval
  21. valued Information System.
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