Authors : E.I. Elsedimy and F. Algarni
Abstract: In this study, a new approach to combine multiple decision systems using multiple classifiers and rough sets methods is presented. This approach depends on our proposed algorithms that work to combine multiple decision systems by aggregating the lower and upper approximations. This improves the quality of decision rules by increasing the number of certain rules which enable us to make certain decisions. Our experiment results indicate that combining lower and upper approximations improves the quality of decision rules. Furthermore, it increases the classification accuracy computed by single and multiple classifiers compared to existing methods.
E.I. Elsedimy and F. Algarni, 2020. An Intelligent Classifier for Group Decision Making Based on Rough Sets. Journal of Engineering and Applied Sciences, 15: 1805-1808.