Title :
A Multi-Modeling Strategy based on Belief Function Theory
Author :
Ramdani, Messaoud ; Mourot, Gilles ; Ragot, José
Abstract :
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.
Keywords :
belief structure; functional models; multimodel; piece of evidence; Clustering algorithms; Context modeling; Fuzzy systems; Input variables; Knowledge based systems; Knowledge engineering; Laboratories; Least squares approximation; Parameter estimation; Takagi-Sugeno model; belief structure; functional models; multimodel; piece of evidence;
Conference_Titel :
Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on
Print_ISBN :
0-7803-9567-0
DOI :
10.1109/CDC.2005.1582664
