A Multi-Modeling Strategy based on Belief Function Theory

Messaoud Ramdani (1) , Gilles Mourot (2) , José Ragot (2)

1 LASA - Laboratoire d'Automatique et Signaux, département d'électronique
2 CRAN - Centre de Recherche en Automatique de Nancy

In this paper, a multi-modeling strategy based on belief function theory is developed. The basic idea is to consider a fuzzy rule based system with a belief structure (BS) as output. The focal elements of each rule are formed by a subset of a collection of functional models. A particular attention is paid to the topic of combining global and local fuzzy models of Takagi-Sugeno type by a specific formulation of the proposed model. Some examples are given to show the validity of the approach.

Mots clés: belief structure; piece of evidence; functional models; multimodel.; multimodel

Domaines: Automatique

Messaoud Ramdani, Gilles Mourot, José Ragot. A Multi-Modeling Strategy based on Belief Function Theory. 44th European Control Conference and Conference on Decision and Control, Dec 2005, Seville, Spain. 6 p. ⟨hal-00512259⟩