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Communication Dans Un Congrès Année : 2012

Gradual Fuzzy Decision Trees to Help Medical Diagnosis

Résumé

In this paper, we consider the problem of the construction of fuzzy decision trees when there exists a graduality between the values of attributes and values of the class. We propose a new measure, extended from the measure of classification ambiguity, that takes into account both discrimination power and graduality with regards to the class. To highlight the importance of that kinds of measures, Medical applications is presented in which often the values of the class are symbolic and ordered and in which the discovery of gradual links between descriptive attributes and the class are seek for.

Dates et versions

hal-01273252 , version 1 (12-02-2016)

Identifiants

Citer

Christophe Marsala. Gradual Fuzzy Decision Trees to Help Medical Diagnosis. The Fuzz-IEEE'2012 Conference, Jun 2012, Brisbane, Australia. pp.602-607, ⟨10.1109/FUZZ-IEEE.2012.6251147⟩. ⟨hal-01273252⟩
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