• DocumentCode
    492129
  • Title

    Study of Weight Determination Based on Rough Set Theory in Desulfuration Projects Decision

  • Author

    Wei, Li ; Yumin, Shang

  • Author_Institution
    Dept. of Economic Manage., North China Electr. Power Univ., Baoding
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    305
  • Lastpage
    307
  • Abstract
    Rough Set Theory could availably analysis and the processing the incomplete information problems. Cited the rough set theory into desulfuration projects decision, through the analysis and extraction of each desulfuration method evaluation index, and according to the importance index of each desulfuration method evaluation index to the order of alternatives is sorted to get thus consistent and completed decision rule. This method based on the actual application background, combined the objective weight and the subjective weight which is decided by the experts´ experience knowledge to assured the final weight value. This method makes up for the shortness of the subjective weight decided by the experts´ experience knowledge. Through the study of actual application based on rough set theory, confirmed the rationality and feasibility of the rough set theory that used in the decision making of desulfuration projects.
  • Keywords
    decision making; flue gas desulphurisation; fuel processing industries; project management; rough set theory; sulphur; decision making; desulfuration method evaluation index; desulfuration projects decision; importance index; knowledge reduction; objective weight; rough set theory; subjective weight; weight determination; Data analysis; Data mining; Decision making; Energy management; Information analysis; Knowledge management; Mathematics; Power generation economics; Project management; Set theory; condition attributes; desulfuration projects; knowledge reduction; rough set theory; weight determination;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Acquisition and Modeling Workshop, 2008. KAM Workshop 2008. IEEE International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3530-2
  • Electronic_ISBN
    978-1-4244-3531-9
  • Type

    conf

  • DOI
    10.1109/KAMW.2008.4810484
  • Filename
    4810484