• DocumentCode
    2716169
  • Title

    Research on Attribute Synthetic Assessment Method

  • Author

    Xiaochen, Zhu ; Cong, Guan ; Huawei, Yuan ; Nan, Chen

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • fYear
    2012
  • fDate
    11-13 Aug. 2012
  • Firstpage
    368
  • Lastpage
    372
  • Abstract
    Towards attribute Synthetic assessment, this paper put forward a Synthetic assessment method based on the combination weighting method. Single index attribute measurement function was used to determine each measuring point´s single indicators of degree of membership and form a matrix, the comprehensive weights defined by AHM Weighting method and similar rights law were used to establish a multi-index Synthetic measure matrix, and judgment was made according to confidence criteria. The simulation results showed that this method can compensate for the limitations of fuzzy Synthetic evaluation method, and it is more scientific and reasonable than single-weighting method, because it can avoid the inaccuracy of the subjective factors of evaluation and overcome the incompleteness of the objective weights which do not consider the customer needs. The method is straightforward and presents trustful and reasonable evaluation results.
  • Keywords
    decision making; fuzzy set theory; matrix algebra; AHM weighting method; attribute synthetic assessment method; combination weighting method; confidence criteria; customer needs; fuzzy synthetic evaluation method; matrix formation; measuring point single indicator; membership degree; multiattribute decision making; multiindex synthetic measure matrix; objective weight incompleteness; single index attribute measurement function; subjective factor; Decision making; Indexes; Mathematical model; Power quality; Vectors; Voltage fluctuations; Weight measurement; AHM weighting method; attribute synthetic assessment; combination weighting method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Service System (CSSS), 2012 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-0721-5
  • Type

    conf

  • DOI
    10.1109/CSSS.2012.99
  • Filename
    6394337