• DocumentCode
    1564228
  • Title

    A validation procedure for fuzzy multiattribute decision making

  • Author

    Kuo, Yu-Liang ; Yeh, Chung-Hsing ; Chau, Rowena

  • Author_Institution
    Sch. of Bus. Syst., Monash Univ., Clayton, Vic., Australia
  • Volume
    2
  • fYear
    2003
  • Firstpage
    1080
  • Abstract
    Fuzzy multiattribute decision making (MADM) has been widely used in ranking a finite number of decision alternatives characterized by fuzzy assessments with respect to multiple criteria. The overall utility of an alternative is obtained by aggregating the criteria weights and alternatives ratings, on which the ranking is based. However, different aggregation techniques often produce inconsistent outcomes for the same problem. This paper presents a validation procedure for examining the validity of fuzzy MADM methods, in order to assist in selecting a valid outcome for a given selection problem. The procedure uses fuzzy clustering as a basis to compare with the results from fuzzy MADM methods. A case study of the scrap metal buyer selection is conducted to demonstrate the effectiveness of the procedure.
  • Keywords
    decision making; fuzzy set theory; pattern clustering; MADM; aggregation techniques; alternative ratings; criteria weights; decision alternatives; finite number ranking; fuzzy assessments; fuzzy c-means; fuzzy clustering; fuzzy multiattribute decision making methods; multiple criteria; potential buyer; scrap metal buyer selection; validation procedure; Australia; Decision making; Delta modulation; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Humans; Information technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2003. FUZZ '03. The 12th IEEE International Conference on
  • Print_ISBN
    0-7803-7810-5
  • Type

    conf

  • DOI
    10.1109/FUZZ.2003.1206582
  • Filename
    1206582