Classification method of gene expression programming based on principle of maximum degree of membership
Dan Chen · Computer Engineering and Applications Journal · 2012
The paper proposes a classification method of Gene Expression Programming(GEP)based on the principle of maximum degree of membership,which is named MDM-GEP.Describing fuzziness of classification by membership degree of fuzzy set,the GEP classifier approximating membership function is obtained on training data set.For the instance to be classified,it computes the membership degree of in fuzzy sets,and determines the final class based on the principle of maximum degree of membership.The experiments carried on three datasets from the UCI machine learning repository show that MDM-GEP not only is effective for classification,but also resolves the unclassifiable region problems in the conventional simple GEP classification strategy.