TY  - JOUR
T1  - An Intelligent Classifier for Group Decision Making Based on Rough Sets
AU - Elsedimy, E.I. AU - Algarni, F. 
JO  - Journal of Engineering and Applied Sciences
VL  - 15
IS  - 7
SP  - 1805
EP  - 1808
PY  - 2020
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2020.1805.1808
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2020.1805.1808
KW  - Rough set
KW  -decision making
KW  -multiple classifiers
KW  -quality of decision accuracy
AB  - 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.
ER  -