• DocumentCode
    2999305
  • Title

    Multicriteria fuzzy decision-making method based on weighted correlation coefficients under interval-valued intuitionistic fuzzy environment

  • Author

    Yongbiao, Luo ; Jun, Ye ; Xiaowen, Ma

  • Author_Institution
    Dept. of Mechatron. Eng., Shaoxing Univ., Shaoxing, China
  • fYear
    2009
  • fDate
    26-29 Nov. 2009
  • Firstpage
    2057
  • Lastpage
    2060
  • Abstract
    To identify the best alternative in multicriteria decision-making problems, a multicriteria fuzzy decision-making method based on the weighted correlation coefficient of interval-valued intuitionistic fuzzy sets (IVIFSs) is established in which criterion values for alternatives are IVIFSs and the criterion weights are known information. With the definition of ideal and anti-ideal weighted correlation coefficients, an objective function is constructed to derive the optimal evaluation for the weight of each alternative. The ranking of alternatives and the best one can be determined directly on the basis of the weights of alternatives. The evaluation process is simple and easy to use in practice. Finally, an illustrative example demonstrates the practicality and effectiveness of the proposed method.
  • Keywords
    correlation methods; formal logic; fuzzy set theory; operations research; interval-valued intuitionistic fuzzy sets; multicriteria fuzzy decision-making method; objective function; weighted correlation coefficients; Decision making; Design engineering; Frequency selective surfaces; Fuzzy sets; Gold; Mechatronics; Variable structure systems; Interval-valued intuitionistic fuzzy set; correlation; criterion weight; multicriteria fuzzy decision making; weighted correlation coefficient;
  • 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.2009.5375194
  • Filename
    5375194