Title :
On Data-driven Procedure for Determining the Number of Rules in a Takagi-Sugeno Fuzzy Model
Author_Institution :
Member. IEEE, Military-Technical Institute, Ratka Resanovica str. 1, Zarkovo, Belgrade, Serbia &
fDate :
6/27/1905 12:00:00 AM
Abstract :
The data driven procedure for determining the optimal number of expert rules in a fuzzy knowledge base of Takagi-Sugeno type is considered. The procedure is based on the Klawonn-Kruse clustering of numerical samples - a training set of the unknown function to be approximated using Takagi-Sugeno fuzzy model
Keywords :
"Takagi-Sugeno model","Fuzzy sets","Fuzzy systems","Hybrid intelligent systems","Nonlinear systems","Data mining","Knowledge based systems","Artificial intelligence","Proposals","Nonlinear equations"
Conference_Titel :
Computer as a Tool, 2005. EUROCON 2005.The International Conference on
Print_ISBN :
1-4244-0049-X
DOI :
10.1109/EURCON.2005.1630151
