Qualitative inference in possibilistic option decision trees

Authors:
Ilyes Jenhani;Zied Elouedi;Nahla Ben Amor;Khaled Mellouli
Affiliations:
LARODEC, Institut Supérieur de Gestion de Tunis, Le Bardo, Tunisie;LARODEC, Institut Supérieur de Gestion de Tunis, Le Bardo, Tunisie;LARODEC, Institut Supérieur de Gestion de Tunis, Le Bardo, Tunisie;LARODEC, Institut Supérieur de Gestion de Tunis, Le Bardo, Tunisie
Venue:
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Year:
2005

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Abstract

This paper presents a classification technique using possibility theory, namely the possibilistic option decision trees (PODT) which offers a more flexible building procedure by selecting more than one attribute in each decision node. Then, a classification method, using the PODT, to determine the class value of instances characterized by uncertain/missing attributes is proposed.