• DocumentCode
    3285943
  • Title

    Application in mold quotation with the fuzzy set & rough set theory

  • Author

    Liu, Chongxin

  • Author_Institution
    Dept. of Inf. Manage., Hubei Univ. of Automotive Technol., Shiyan, China
  • fYear
    2011
  • fDate
    15-17 April 2011
  • Firstpage
    2997
  • Lastpage
    3000
  • Abstract
    Enterprises lie in very dynamic ,uncertain competitive environment with the application & development of information technology and the productivity on the increase . The traditional quotation methods of molds have gone out of date. This paper presents a new quotation method of molds combining fuzzy set theory with rough sets according to the constituents of mold price . Firstly, it has built a mathematic model rapidly estimating mold cost based on fuzzy similarity comparison in fuzzy set theory. Secondly, it introduces data mining & reduction to customer information data base by means of rough sets, and proposes the customer classification rules with a instance in details. Finally, it gives a quotation system architecture frame for molds combining fuzzy set theory with rough sets. The new quotation method of molds both rapidly & accurately estimates mold cost and gives rational profit ratio according to customers´ classification. In the quotation process it not only considers the cost factors of molds,but also judges enterprise´s profit ratio. Therefore this mold quotation is made scientifically and reliably for enterprises to win customers and make profits .
  • Keywords
    data mining; data reduction; fuzzy set theory; moulding; pricing; production engineering computing; rough set theory; customer classification rule; data mining; data reduction; fuzzy set theory; fuzzy similarity comparison; information technology; mathematic model; mold quotation; quotation system architecture frame; rational profit ratio; rough set theory; Data mining; Fuzzy set theory; Fuzzy systems; Research and development; Rough sets; decision rule; fuzzy similarity comparison; mold quotation; rough set;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Information and Control Engineering (ICEICE), 2011 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-8036-4
  • Type

    conf

  • DOI
    10.1109/ICEICE.2011.5777892
  • Filename
    5777892