• DocumentCode
    1752994
  • Title

    Case Retrieving Based on Grey Incidence Degree in CBR

  • Author

    Mi, Chuanmin ; Liu, Sifeng ; Dang, Yaoguo ; Fang, ZhiGeng

  • Author_Institution
    Coll. of Econ. & Manage., Nanjing Univ. of Aeronaut. & Astronaut.
  • Volume
    1
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    4387
  • Lastpage
    4391
  • Abstract
    Based on the characteristic of grey system theory, which is an effective method to solve uncertain problems, we used grey incidence analytic method into case retrieving of CBR. We took grey incidence degree as a tool for measuring the similarity degree of case. Grey predominance analysis was applied for choosing the most suitable case. If there was no strict suitable case, AHP (analytic hierarchy process) method was used to calculate weight of different indices, then we got synthetical grey incidence degree, ascertain synthetical most similar case. A CBR framework based on grey incidence degree was built based on grey incidence analytic method. Finally, an example was presented. The results show that the method is simple and practical; the model provides an effective method to case retrieving
  • Keywords
    case-based reasoning; grey systems; information retrieval; analytic hierarchy process; case based reasoning; case retrieval; grey incidence analytic method; grey incidence degree; grey predominance analysis; grey system theory; Automation; Computer aided software engineering; Extraterrestrial measurements; Intelligent control; CBR; case retrieving; grey incidence degree;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
  • Conference_Location
    Dalian
  • Print_ISBN
    1-4244-0332-4
  • Type

    conf

  • DOI
    10.1109/WCICA.2006.1713206
  • Filename
    1713206