International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 69 - Number 2 |
Year of Publication: 2013 |
Authors: Mohamed Eisa |
10.5120/11812-7473 |
Mohamed Eisa . Improving Group Decision Support Systems using Rough Set. International Journal of Computer Applications. 69, 2 ( May 2013), 9-13. DOI=10.5120/11812-7473
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.