• DocumentCode
    1562632
  • Title

    A new method of conceptual design based on the theory of fuzzy sets pattern recognition and its application in the electrical apparatus design expert system

  • Author

    Li, Lingling ; Li, Zhigang ; Zhou, Chunlai ; Su, Xiuping ; Guo, Lei ; Wang, Jiannan

  • Author_Institution
    Inst. of Electr. Apparatus, Hebei Univ. of Technol., Tianjin, China
  • Volume
    5
  • fYear
    2004
  • Firstpage
    4092
  • Abstract
    A method for conceptual design of mechanical products was proposed based on the fuzzy closeness degree in the theory of fuzzy sets pattern recognition: at first, the fuzzy sets of the characteristic factors of each kind of available products and those of the products designed in terms of the fuzzy description of the users´ requirements. Secondly, the similarity degree between the products designed and every kind of available products were gotten by calculating the fuzzy closeness degree between fuzzy sets and synthesizing the weight of the characteristic factors. Finally, a certain type of product was selected according to the greatest- similarity degree criterion, thus the conceptual design of the product was fulfilled. It also presents a method of distributing weight to characteristic factors according to the mean square-root among classes. The methods was applied to the electrical apparatus expert system designing-oriented.
  • Keywords
    electrical products; expert systems; fuzzy set theory; mean square error methods; mechanical products; pattern recognition; product design; conceptual design; electrical apparatus design expert system; fuzzy closeness degree; fuzzy sets pattern recognition; mean square root method; mechanical products; product design; weight distribution; Design methodology; Expert systems; Fuzzy set theory; Fuzzy sets; Mechanical products; Pattern recognition; Product design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
  • Print_ISBN
    0-7803-8273-0
  • Type

    conf

  • DOI
    10.1109/WCICA.2004.1342271
  • Filename
    1342271