Conceptual Modeling of Coincident Failures in Multiversion Software
IEEE Transactions on Software Engineering
Distributed representation of fuzzy rules and its application to pattern classification
Fuzzy Sets and Systems
Classification by fuzzy integral: performance and tests
Fuzzy Sets and Systems - Special issue on fuzzy methods for computer vision and pattern recognition
Machine Learning
What are fuzzy rules and how to use them
Fuzzy Sets and Systems - Special issue dedicated to the memory of Professor Arnold Kaufmann
A simple but powerful heuristic method for generating fuzzy rules from numerical data
Fuzzy Sets and Systems
A system for real-time fabric inspection and industrial decision
SEKE '02 Proceedings of the 14th international conference on Software engineering and knowledge engineering
Statistical Classification of Raw Textile Defects
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Extraction of Consistent Subsets of Descriptors using Choquet Integral
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Moderate diversity for better cluster ensembles
Information Fusion
Fuzzy c-means clustering methods for symbolic interval data
Pattern Recognition Letters
Checking the coherence and redundancy of fuzzy knowledge bases
IEEE Transactions on Fuzzy Systems
Mixed group ranks: preference and confidence in classifier combination
IEEE Transactions on Pattern Analysis and Machine Intelligence
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An iterative method to select suitable features in an industrial fabric defect recognition context is proposed in this paper. It combines a global feature selection method based on the Choquet integral and a fuzzy linguistic rule classifier. The experimental study shows the wanted behaviour of this approach: the feature number decreases whereas the recognition rate increases. Thus, the number of generated fuzzy rules is reduced.