Neural expert system using fuzzy teaching input and its application to medical diagnosis
Information Sciences—Applications: An International Journal
Fuzzy MLP based expert system for medical diagnosis
Fuzzy Sets and Systems - Special issue on fuzzy methods for computer vision and pattern recognition
Neuro-fuzzy feature evaluation with theoretical analysis
Neural Networks
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Set Based Data Exploration Using ROSE System
ISMIS '99 Proceedings of the 11th International Symposium on Foundations of Intelligent Systems
Two new operators in rough set theory with applications to fuzzy sets
Information Sciences—Informatics and Computer Science: An International Journal
Modelling of rough-fuzzy classifier
WSEAS TRANSACTIONS on SYSTEMS
Systems modelling on the basis of rough and rough-fuzzy approach
WSEAS Transactions on Information Science and Applications
Feature Selection Based on the Rough Set Theory and Expectation-Maximization Clustering Algorithm
RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
Attribute reduction and optimal decision rules acquisition for continuous valued information systems
Information Sciences: an International Journal
Effects of discretization on determination of coronary artery disease using support vector machine
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
Discretization of continuous attributes in rough set theory and its application
CIS'04 Proceedings of the First international conference on Computational and Information Science
A class of rough multiple objective programming and its application to solid transportation problem
Information Sciences: an International Journal
A hybrid classifier based on rough set theory and support vector machines
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
Radar emitter signal recognition based on feature selection algorithm
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
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A concept of fuzzy discretization of feature space for a rough set theoretic classifier is explained. Fuzzy discretization is characterised by membership value, group number and affinity corresponding to an attribute value, unlike crisp discretization which is characterised only by the group number. The merit of this approach over both crisp discretization in terms of classification accuracy, is demonstrated experimentally when overlapping data sets are used as input to a rough set classifier. The effectiveness of the proposed method has also been observed in a multi-layer perceptron in which case raw (non-discretized) data is considered as input, in addition to discretized ones.