Learning Fuzzy Decision Rules - Archive ouverte HAL Accéder directement au contenu
Chapitre D'ouvrage Année : 1999

Learning Fuzzy Decision Rules

Résumé

In this chapter a review of existing methods to learn fuzzy decision rules is done. Two kinds of learning methods exist. The first kind deals with the determination of the structure of the fuzzy decision rules. Fuzzy propositions (Vk is Ak) have to be chosen to compose premises and conclusions of such rules. The second kind of method is concerned with the tuning of the membership functions associated with the fuzzy propositions that appear in premises and conclusions of a given set of fuzzy decision rules.

Dates et versions

hal-01574498 , version 1 (14-08-2017)

Identifiants

Citer

Bernadette Bouchon-Meunier, Christophe Marsala. Learning Fuzzy Decision Rules. Fuzzy sets in approximate reasoning and information systems, 5, Springer, pp.279-304, 1999, The Handbooks of Fuzzy Sets Series, ⟨10.1007/978-1-4615-5243-7_5⟩. ⟨hal-01574498⟩
54 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More