par Belacel, Nabil
Référence European journal of operational research, 125, 1, page (175-183)
Publication Publié, 2000-08
Article révisé par les pairs
Résumé : This paper presents a new fuzzy multicriteria classification method, called PRO AFTN, for assigning alternatives to predefined categories. This method belongs to the class of supervised learning algorithms and enables to determine the fuzzy indifference relations by generalizing the indices (concordance and discordance) used in the ELECTRE III method. Then, it assigns the fuzzy belonging degree of the alternatives to the categories. We also present a clinical application of the proposed method in the cytopathological diagnosis of acute leukemia.

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