• DocumentCode
    3699291
  • Title

    Research of CBR retrieval method based on rough set theory

  • Author

    Hui Li;Ye Song;Xiaoping Li;Qiongxin Liu;Yuanfang Zhu

  • Author_Institution
    School of Computer Science &
  • fYear
    2015
  • Firstpage
    990
  • Lastpage
    993
  • Abstract
    Case retrieval is the key technology of case-based reasoning (CBR), directly affect the efficiency and quality of CBR. For the measurement issues of similar cases, using rough set theory to determine the importance of attributes and to distribute the rational weights of each property. Taking the improved nearest neighbor method which is based on the combination of Hamming distance and Euclidean distance to solve case similarity, improve the accuracy and efficiency of case matching.
  • Keywords
    "Set theory","Euclidean distance","Hamming distance","Courseware","Yttrium","Cognition","Knowledge representation"
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2015 6th IEEE International Conference on
  • ISSN
    2327-0586
  • Print_ISBN
    978-1-4799-8352-0
  • Electronic_ISBN
    2327-0594
  • Type

    conf

  • DOI
    10.1109/ICSESS.2015.7339220
  • Filename
    7339220