Hybrid Classifier Based on Rough Sets and Neural Networks
نویسندگان
چکیده
منابع مشابه
T-Rough Sets Based on the Lattices
The aim of this paper is to introduce and study set- valued homomorphism on lattices and T-rough lattice with respect to a sublattice. This paper deals with T-rough set approach on the lattice theory. The result of this study contributes to, T-rough fuzzy set and approximation theory and proved in several papers. Keywords: approximation space; lattice; prime ideal; rough ideal; T-rough set; set...
متن کاملA Hybrid Feature Selection Approach Based on the Bayesian Network Classifier and Rough Sets
The paper proposes a hybrid feature selection approach based on Rough sets and Bayesian network classifiers. In the approach, the classification result of a Bayesian network is used as the criterion for the optimal feature subset selection. The Bayesian network classifier used in the paper is a kind of naive Bayesian classifier. It is employed to implement classification by learning the samples...
متن کاملA hybrid filter-based feature selection method via hesitant fuzzy and rough sets concepts
High dimensional microarray datasets are difficult to classify since they have many features with small number ofinstances and imbalanced distribution of classes. This paper proposes a filter-based feature selection method to improvethe classification performance of microarray datasets by selecting the significant features. Combining the concepts ofrough sets, weighted rough set, fuzzy rough se...
متن کاملNeighborhood rough set and SVM based hybrid credit scoring classifier
The credit scoring model development has become a very important issue, as the credit industry is highly competitive. Therefore, considerable credit scoring models have been widely studied in the areas of statistics to improve the accuracy of credit scoring during the past few years. This study constructs a hybrid SVM-based credit scoring models to evaluate the applicant’s credit score accordin...
متن کاملEmergent Model Based On Hybrid Rough Sets Systems
The development of many knowledge discovery methods provided us with a good foundation for building hybrid systems based on rough set theory for knowledge discovery in a database. The need for more effective methods of generating and maintaining global nonfunctional properties suggests an approach analogous to those of natural processes in generating emergent properties. An emergent model allow...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Electronic Notes in Theoretical Computer Science
سال: 2003
ISSN: 1571-0661
DOI: 10.1016/s1571-0661(04)80721-7