Machine learning
C4.5: programs for machine learning
C4.5: programs for machine learning
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Induction of fuzzy decision trees
Fuzzy Sets and Systems
Data mining methods for knowledge discovery
Data mining methods for knowledge discovery
Genetic Algorithms and Fuzzy Logic Systems: Soft Computing Perspectives
Genetic Algorithms and Fuzzy Logic Systems: Soft Computing Perspectives
Machine Learning
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
The Mathematical Theory of Context-Free Languages
The Mathematical Theory of Context-Free Languages
Improved use of continuous attributes in C4.5
Journal of Artificial Intelligence Research
Fuzzy logic to cope with complex problems: some examples of real-world applications
CSTST '08 Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology
Similarities in fuzzy data mining: from a cognitive view to real-world applications
WCCI'08 Proceedings of the 2008 IEEE world conference on Computational intelligence: research frontiers
Mining fuzzy rules using an Artificial Immune System with fuzzy partition learning
Applied Soft Computing
Diagnosis of cardiac arrhythmia using fuzzy immune approach
ICANNGA'11 Proceedings of the 10th international conference on Adaptive and natural computing algorithms - Volume Part II
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In this chapter, we propose two new algorithms to infer automatically a fuzzy partition for the universe of a set of values, when each of these values is associated with a class. These algorithms are based on the use of mathematical morphology operators that are used to filter the given set of values and highlight kernel for fuzzy subsets. Their purpose is to be used in an inductive learning algorithm to construct fuzzy partitions on numerical universes of values.