DocumentCode
3002862
Title
A first study of fuzzy cognitive maps learning using particle swarm optimization
Author
Parsopoulos, Konstantinos E. ; Papageorgiou, Elpiniki I. ; Groumpos, Petros P. ; Vrahatis, Michael N.
Author_Institution
Deprt. of Math., Patras Univ., Greece
Volume
2
fYear
2003
fDate
8-12 Dec. 2003
Firstpage
1440
Abstract
We introduce a new algorithm for fuzzy cognitive maps learning. The proposed approach is based on the particle swarm optimization method and it is used for the detection of proper weight matrices that lead the fuzzy cognitive map to desired steady states. For this purpose a properly defined objective function that incorporates experts´ knowledge is constructed and minimized. The application of the proposed methodology to an industrial control problem supports the claim that the proposed technique is efficient and robust.
Keywords
decision making; fuzzy systems; industrial control; learning (artificial intelligence); optimisation; decision making; fuzzy cognitive maps learning; industrial control problem; particle swarm optimization; proper weight matrix; Artificial intelligence; Decision making; Fuzzy cognitive maps; Industrial control; Learning; Mathematics; Particle swarm optimization; Process control; Robust control; Steady-state;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2003. CEC '03. The 2003 Congress on
Print_ISBN
0-7803-7804-0
Type
conf
DOI
10.1109/CEC.2003.1299840
Filename
1299840
Link To Document