• DocumentCode
    2996967
  • Title

    An enhanced multicriteria decision-making method of machine design schemes under interval-valued intuitionistic fuzzy environment

  • Author

    Lee, Weibo

  • Author_Institution
    Dept. of Mechatron. Eng., Shaoxing Univ., Shaoxing, China
  • fYear
    2009
  • fDate
    26-29 Nov. 2009
  • Firstpage
    721
  • Lastpage
    725
  • Abstract
    Method for ranking interval-valued intuitionistic fuzzy numbers is of key duty to multicriteria decision-making. Existing ranking methods using score function and accuracy function can not give sufficient information about alternatives and will demonstrate the situation of difficult decision or wrong decision in some cases. In this paper, a deviation function, considering the variance of the hesitancy degree of interval-valued intuitionistic fuzzy sets (IVIFSs), is presented to overcome the situation of difficult decision of existing accuracy functions to the alternatives in some cases. A method for ranking interval-valued intuitionistic fuzzy numbers is then established based on the score function, accuracy function and deviation function. Finally, an enhanced multicriteria decision-making method base on Interval-valued Intuitionistic fuzzy sets is provided and is successfully applied to decision-making of machine design schemes.
  • Keywords
    decision making; fuzzy logic; fuzzy set theory; accuracy function; deviation function; enhanced multicriteria decision-making method; interval-valued intuitionistic fuzzy sets; machine design schemes; score function; Arithmetic; Decision making; Design engineering; Design methodology; Frequency selective surfaces; Fuzzy sets; Mechatronics; Variable structure systems; Deviation Function; Interval-Valued Intuitionistic Fuzzy Set; Machine Design Scheme; Multicriteria Decision-Making;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Aided Industrial Design & Conceptual Design, 2009. CAID & CD 2009. IEEE 10th International Conference on
  • Conference_Location
    Wenzhou
  • Print_ISBN
    978-1-4244-5266-8
  • Electronic_ISBN
    978-1-4244-5268-2
  • Type

    conf

  • DOI
    10.1109/CAIDCD.2009.5375070
  • Filename
    5375070