• DocumentCode
    507800
  • Title

    An Immune Decision Making Strategy for Evaluation of Production Concept Design

  • Author

    Guangzhu, Chen

  • Author_Institution
    Sch. of Mech. & Electr. Eng., China Univ. of Min. & Technol., Xuzhou, China
  • Volume
    4
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    12
  • Lastpage
    16
  • Abstract
    The decision making of design schemes is an essential problem in the process of conceptual design of products. It is a valuable new topic on fusing the subjective determination method and the objective determination method according to a certain kind of rule, which both considering the subjective information, and the objective information. This article firstly build a fuzzy non-linear weight fusion mathematical model based on fuzzy set and least squares, Then a collaborative immune algorithm based on clonal selection theory and the complement activity theory is presented to solve the fuzzy non-linear weight fusion mathematical problem. Finally, the applicability of the decision making process of transmission schemes of the belt conveyor is realized, and the results displays the rank of transmission schemes is feasible and promotes the automatic decision making method and technology of the conceptual design of product.
  • Keywords
    decision making; fuzzy set theory; least squares approximations; product design; clonal selection theory; collaborative immune algorithm; fuzzy nonlinear weight fusion mathematical model; fuzzy set; immune decision making strategy; least squares; objective determination method; production concept design; subjective determination method; Belts; Collaboration; Decision making; Displays; Fuzzy set theory; Least squares methods; Mathematical model; Process design; Product design; Production;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2009. ICNC '09. Fifth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3736-8
  • Type

    conf

  • DOI
    10.1109/ICNC.2009.119
  • Filename
    5363160