Title :
Qualitative classification and evaluation in possibilistic decision trees
Author :
Ben Amor, Nahla ; Benferhat, Salem ; Elouedi, Zied
Author_Institution :
Inst. Superieur de Gestion de Tunis, Tunisia
Abstract :
This paper presents a method for classifying objects in an uncertain context using decision trees. Uncertainty is related to attributes´ values of objects to classify and is handled in a qualitative possibilistic framework. Then, an evaluation method to judge the classification efficiency, in an uncertain context, is proposed.
Keywords :
decision trees; minimax techniques; pattern classification; possibility theory; objects classification; possibilistic decision trees; qualitative classification; qualitative evaluation method; quantitative possibilistic framework; Classification tree analysis; Decision trees; Electronic mail; Intrusion detection; Labeling; Lenses; Possibility theory; Testing; Uncertainty;
Conference_Titel :
Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on
Print_ISBN :
0-7803-8353-2
DOI :
10.1109/FUZZY.2004.1375474
