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
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