• DocumentCode
    3195794
  • Title

    Study on the Application of Fuzzy TOPSIS to the Multi-objective Decision Making

  • Author

    Huang Jian-wen ; Chen Rui ; Wang Xing-xia ; Zhou Yi-hong

  • Author_Institution
    Coll. of Hydraulic & Environ. Eng., China Three Gorges Univ., Yichang, China
  • Volume
    3
  • fYear
    2010
  • fDate
    11-12 May 2010
  • Firstpage
    560
  • Lastpage
    563
  • Abstract
    Decision-making problem is the process of finding the best option from all of the feasible alternatives. To some extent, decision-makers usually are more confident making linguistic judgments than crisp value judgments. The aim of this paper is to extend the TOPSIS method to decision-making problems with fuzzy data. In this paper the fuzzy theory is introduced into the multi-objective decision making(MODM) problem under uncertainty and the fuzzy TOPSIS approach is proposed to solve the MODM problem with subjective linguistic variables. First the triangular fuzzy numbers are used to describe the degree of importance and the attribute value. Then it gives the general steps of solving the MODM problem through the fuzzy TOPSIS approach. Finally, a case study is used to illustrate the procedure of the proposed approach at the end of the paper. With this approach, we provide decision-makers more information to make more powerful decision.
  • Keywords
    computational linguistics; decision making; fuzzy set theory; MODM; feasible alternatives; fuzzy TOPSIS application; fuzzy data; fuzzy theory; linguistic judgments; multiobjective decision making; triangular fuzzy numbers; Automation; Costs; Decision making; Educational institutions; Partial response channels; Uncertainty; TOPSIS; construction scheme optimization; fuzzy theory; multi-objective decision making;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-7279-6
  • Electronic_ISBN
    978-1-4244-7280-2
  • Type

    conf

  • DOI
    10.1109/ICICTA.2010.226
  • Filename
    5522884