• DocumentCode
    2259611
  • Title

    Research on Case Representation and Case Retrieval Algorithm for Stamping Die

  • Author

    Deng, Wu ; Wang, Xianfang ; Zhao, Huimin ; Yang, Xinhua ; He, Ping

  • Author_Institution
    Software Inst., Dalian Jiaotong Univ., Dalian
  • Volume
    1
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    370
  • Lastpage
    374
  • Abstract
    In allusion to the traditional case retrieval technology disadvantage of die design, a rough set-based case retrieval method is presented in the die design. To analyze and deal with die case database using rough set theory, and use a method by using grade classification and decision attributes supporting degree to discretize the quantitative features. It confirms the important degree of all types of characteristic attributes. To aim to build up a retrieval method based on case´s key attributes. It uses the similarity method to carry on the similarity degree, retrieve the closest design the case from the case database to take the design case reference. The proposed method is also demonstrated by an application example. The technology guarantees the validity of case retrieval reduces system dependence and improves efficiency of case retrieval.
  • Keywords
    database management systems; dies (machine tools); information retrieval; pattern classification; product design; rough set theory; case retrieval algorithm; decision attribute; die case database; grade classification; rough set theory; similarity method; stamping die case representation; stamping die design; Application software; Decision making; Design methodology; Information retrieval; Information systems; Information technology; Knowledge representation; Set theory; Software algorithms; Spatial databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3497-8
  • Type

    conf

  • DOI
    10.1109/IITA.2008.181
  • Filename
    4739597