Add to ORKGInternational audienceIn inductive learning, to build decision trees is often arduous when there exists more than two classes to learn. In this paper, a method of decomposition of problems with more than two classes into several problems with only two classes is proposed. This decomposition enables the construction of a forest of fuzzy decision trees where each fuzzy decision tree is dedicated to the recognition of a single class against a combination of all the other classes. The construction of fuzzy decision trees is based on an extension of the ID3 algorithm which handles imprecision in data. A method to use such a forest of fuzzy decision trees to classify new cases is also proposed
Following Breiman’s methodology, we propose a multi-classifier based on a “forest ” of randomly gene...
Classification as a data mining materiel is the process of assigning entities to an already defined ...
This chapter considers the soft computing approach called fuzzy decision trees (FDT), a form of clas...
The inductive learning methodology known as decision trees, concerns the ability to classify objects...
International audienceIn this paper, a study is presented to explore ensembles of fuzzy decision tre...
International audienceInductive learning is an efficient way to construct knowledge from the observa...
There is a lot of approaches for data classification problems resolving. The most significant data c...
International audienceIn the recent years, forests of decision trees have seen an increasing interes...
An approach to construct a new classifier called an intu-itionistic fuzzy decision tree is presented...
AbstractWhen individual classifiers are combined appropriately, a statistically significant increase...
A popular method in machine learning for supervised classification is a decision tree. In this work ...
Part 7: DecisionsInternational audienceIn this paper a new classification solution which joins C–Fuz...
This paper proposes a framework which consists of a novel fuzzy inference algorithm to generate fuzz...
International audienceForest of fuzzy decision trees are known to be a powerful machine learning too...
In this paper, a new method of fuzzy decision trees called soft decision trees (SDT) is presented. T...
Following Breiman’s methodology, we propose a multi-classifier based on a “forest ” of randomly gene...
Classification as a data mining materiel is the process of assigning entities to an already defined ...
This chapter considers the soft computing approach called fuzzy decision trees (FDT), a form of clas...
The inductive learning methodology known as decision trees, concerns the ability to classify objects...
International audienceIn this paper, a study is presented to explore ensembles of fuzzy decision tre...
International audienceInductive learning is an efficient way to construct knowledge from the observa...
There is a lot of approaches for data classification problems resolving. The most significant data c...
International audienceIn the recent years, forests of decision trees have seen an increasing interes...
An approach to construct a new classifier called an intu-itionistic fuzzy decision tree is presented...
AbstractWhen individual classifiers are combined appropriately, a statistically significant increase...
A popular method in machine learning for supervised classification is a decision tree. In this work ...
Part 7: DecisionsInternational audienceIn this paper a new classification solution which joins C–Fuz...
This paper proposes a framework which consists of a novel fuzzy inference algorithm to generate fuzz...
International audienceForest of fuzzy decision trees are known to be a powerful machine learning too...
In this paper, a new method of fuzzy decision trees called soft decision trees (SDT) is presented. T...
Following Breiman’s methodology, we propose a multi-classifier based on a “forest ” of randomly gene...
Classification as a data mining materiel is the process of assigning entities to an already defined ...
This chapter considers the soft computing approach called fuzzy decision trees (FDT), a form of clas...