TITLE

Improving Group Decision Support Systems using Rough Set

AUTHOR(S)
Eisa, Mohamed
PUB. DATE
May 2013
SOURCE
International Journal of Computer Applications;May2013, Vol. 69, p9
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
In this paper, a proposed Group Decision Support Systems model based on Rough Set is presented. The model improves decision making process by using rough set as a tool for knowledge discovery on decision support system, where the same feature may evaluate by one decision maker as good and by another one as medium, in this case inconsistent will appear in decision problem. To cope with this problem, the model will be used to reduce inconsistent after computing lower and upper approximations. Moreover, the classification accuracy of the rough set with a single classifier and multiple classifiers was compared. These results indicate that, the model improve the classification accuracy for data sets, rather than using single and multiple classifiers.
ACCESSION #
88318532

 

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