• DocumentCode
    2742166
  • Title

    Product Design Based on Clustering Analyzing and Fuzzy Recognition

  • Author

    Lingling, Li ; Quanming, Zhao ; Zhigang, Li ; Huijuan, Zhang

  • Author_Institution
    The Dept. of Electr. Eng. & Autom., Hebei Univ. of Technol., Tianjin
  • fYear
    2006
  • fDate
    7-9 June 2006
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Based on clustering analyzing, a structure selecting method was proposed for design-oriented expert system during product conceptual design. The clustering analyzing method was introduced to find out the attribute sets in different levels matched with structure tree so as to set up a product characteristic space. In this space, each sub-space is matched with a type of product structure. Similarly, the standard model of product can be set up according to the clustering result and all the models are formed as standard structure tree. Then, the fuzzy recognition method is adopted to determine the type of product structure by mapping one certain node of the tree with the design requirements. The method can be wide used in applications of mechanical product design
  • Keywords
    fuzzy set theory; intelligent design assistants; mechanical products; product design; clustering analyzing method; design-oriented expert system; fuzzy recognition; mechanical product design; product structure; standard structure tree; Circuits; Expert systems; Frequency; Fuzzy systems; Hybrid intelligent systems; Information analysis; Mechanical products; Product design; Switches; Vibrations; Design-oriented expert system; clustering analyzing; conceptual cesign; fuzzy recognition; mechanical product;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cybernetics and Intelligent Systems, 2006 IEEE Conference on
  • Conference_Location
    Bangkok
  • Print_ISBN
    1-4244-0023-6
  • Type

    conf

  • DOI
    10.1109/ICCIS.2006.252291
  • Filename
    4017850