Incomplete Information System and Rough Set Theory

Models and Attribute Reductions

  • Xibei Yang
  • Jingyu Yang

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Indiscernibility Relation Based Rough Sets

    1. Front Matter
      Pages 1-1
  3. Incomplete Information Systems and Rough Sets

    1. Front Matter
      Pages 43-43
  4. Dominance-based Rough Sets and Incomplete Information Systems

    1. Front Matter
      Pages 131-131
  5. Incomplete Information Systems and Multigranulation Rough Sets

    1. Front Matter
      Pages 193-193
    2. Xibei Yang, Jingyu Yang
      Pages 195-222
  6. Back Matter
    Pages 223-232

About this book

Introduction

"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.

Keywords

Attribute Reduction Dominance-based Rough Set Incomplete Information System Rough Set SCIPRESS

Authors and affiliations

  • Xibei Yang
    • 1
  • Jingyu Yang
    • 2
  1. 1.School of Computer Science and EngineeringJiangsu University of Science and TechnologyZhenjiang JiangsuP.R. China
  2. 2.School of Computer Science and TechnologyNanjing University of Science and TechnologyNanjing JiangsuP.R. China

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-25935-7
  • Copyright Information Science Press,Beijng and Springer Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-25934-0
  • Online ISBN 978-3-642-25935-7
  • About this book