• DocumentCode
    2851706
  • Title

    A Method for Selecting Optimum from Evaluation Schemes Based on Set Pair Analysis

  • Author

    Chen, Rong ; Ye, Chunsen

  • Author_Institution
    Dept. of Manage., Hefei Normal Univ., Hefei, China
  • fYear
    2010
  • fDate
    13-15 Aug. 2010
  • Firstpage
    11
  • Lastpage
    14
  • Abstract
    In order to explore relation between evaluation results from different methods, a new model is proposed to choose the optimal scheme based on set pair analysis though comparing the affiliation degree among the given schemes in this paper. Considering the discrepancy degree of evaluation results, it comes up with a method for selecting optimum from evaluation schemes, using the quantity of ranking discrepancy to measure the ranking rationality. This model uses the same, the different and the contrary thought of set pair analysis to describe the connection between the ranking results. It also proves the affiliation degree we defined is the expansion of kendall coefficient of rank correlation. For illustration, an example of trap evaluation in petroleum-gas exploration decision is utilized to show the feasibility and scientificity of the model, comparing with the research results of concerned experts. The model based on set pair analysis can select the optimal one from different evaluation schemes and make merit rating of them, thus a class of decision-making problem with choosing the optimal from different evaluation schemes are solved.
  • Keywords
    decision making; gas industry; optimisation; petroleum industry; statistical analysis; affiliation degree; evaluation schemes; kendall coefficient; optimal scheme; optimum selection; petroleum-gas exploration decision; ranking discrepancy; ranking rationality; set pair analysis; Analytical models; Biological system modeling; Correlation; Decision making; Electrostatic discharge; Measurement uncertainty; Uncertainty; affiliation degree; compositive evaluation; ranking; set pair analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Intelligence and Financial Engineering (BIFE), 2010 Third International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-7575-9
  • Type

    conf

  • DOI
    10.1109/BIFE.2010.13
  • Filename
    5621718