• DocumentCode
    1595393
  • Title

    Extended Case-Based Reasoning for Intelligent System Configuration

  • Author

    Feng-Jun, Hu ; Shui-Ying, Chai ; Zhen, Xu ; Ping, Sun

  • Author_Institution
    Modern Educ. Technol. Center, Zhejiang Shuren Univ., Hangzhou, China
  • Volume
    3
  • fYear
    2010
  • Firstpage
    307
  • Lastpage
    309
  • Abstract
    To finish the system configuration quickly, the paper proposes an extended case-based reasoning for product configuration design. With matter-elements, reasoning model of extended case-based reasoning (ECBR), the similar degree between different parts can be calculated seriously. During the configuration design, the solution space of configuration schemes is obtained by the similarity calculation, and then the overall evaluation of similarity and compatible degrees is adopted to form the final configuration scheme. Based on the method, a prototype system of reducer configuration design is successfully developed, and it proves the proposed method that is feasible and effective.
  • Keywords
    case-based reasoning; product customisation; product design; systems analysis; extended case-based reasoning; intelligent system configuration; product configuration design; reasoning model; reducer configuration design; Computational modeling; Computer science education; Computer simulation; Educational products; Educational technology; Intelligent systems; Mass customization; Paper technology; Product design; Prototypes; extended case-based reasoning; interface relationship; structure matter-element; system configuration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Modeling and Simulation, 2010. ICCMS '10. Second International Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-1-4244-5642-0
  • Electronic_ISBN
    978-1-4244-5643-7
  • Type

    conf

  • DOI
    10.1109/ICCMS.2010.434
  • Filename
    5421232