• DocumentCode
    2678599
  • Title

    Fuzzy Comprehensive Evaluation Model based on Rough Set Theory

  • Author

    Xu, Yitian ; Wang, Laisheng

  • Author_Institution
    Coll. of Sci., China Agric. Univ., Beijing
  • Volume
    2
  • fYear
    2006
  • fDate
    17-19 July 2006
  • Firstpage
    877
  • Lastpage
    880
  • Abstract
    Rough set theory was an effective tool in dealing with vague and uncertainty information. A new comprehensive evaluation model based on rough set theory was proposed in the paper, computation of weighting coefficient in evaluation model was transformed into importance of attributes in rough set theory, thus it effectively avoided subjectivity about weighting coefficient in fuzzy comprehensive evaluation, its evaluation results much more accord with the reality. Another contribution to the paper was a new attribute reduction algorithm by constructing generalized decision table was presented in the paper, it effectively reduced the computational complexity and increased reduction efficiency during reduction. Finally, they were applied to comprehensive evaluation about listed-corporate of China, evaluation result verified the feasibility and validity of the evaluation model proposed in the paper
  • Keywords
    computational complexity; decision tables; fuzzy set theory; rough set theory; attribute reduction algorithm; computational complexity; fuzzy comprehensive evaluation; generalized decision table; rough set theory; Cognitive informatics; Computational complexity; Educational institutions; Fuzzy neural networks; Fuzzy set theory; Information systems; Kernel; Neural networks; Set theory; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Informatics, 2006. ICCI 2006. 5th IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    1-4244-0475-4
  • Type

    conf

  • DOI
    10.1109/COGINF.2006.365607
  • Filename
    4216525