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
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