Adaptation of fuzzy cognitive maps-A comparison study

Acta Polytechnica Hungarica

Volumn 7, Issue 3, 2010, Pages 109-122

  Vaščák, Ján ^a   Madarász, Ladislav ^a  

^a TECHNICAL UNIVERSITY OF KO ICE   (Slovakia)

Author keywords

Adaptation methods; Fuzzy cognitive learning; Hebbian learning; Supervised learning

Indexed keywords

EID: 77958126104     PISSN: 17858860     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (18)

1. Blanco A., Delgado M., Pegalajar M. C., Fuzzy Automaton Induction Using Neural Network, International Journal of Approximate Reasoning, Elsevier, Vol. 27, pp. 1-26, 2001
2. Chen S. M., Cognitive-Map-based Decision Analysis Based on NPN Logics, Fuzzy Sets and Systems, Elsevier, Vol. 71, No. 2, pp. 155-163, 1995
3. th Int. Conf. Mathematical Methods in Economics, Prague, pp. 87-93, 2003
4. Huerga A. V, A Balanced Differential Learning Algorithm in Fuzzy Cognitive Maps, in: Proc. of the Sixteenth International Workshop on Qualitative Reasoning, Barcelona, Spain, 2002
5. Johanyák Zs. Cs., Kovács Sz., A Brief Survey and Comparison on Various Interpolation-based Fuzzy Reasoning Methods, Acta Polytechnica Hungarica, Vol. 3, No. 1, pp. 91-105, 2006
6. Kosko B., Fuzzy Cognitive Maps, International Journal of Man-Machine Studies, Elsevier, Vol. 24, No. 1, pp. 65-75, 1986
7. Kosko, B., Fuzzy Engineering, Prentice-Hall, 1997
8. Kotras M., Adaptation of Fuzzy Cognitive Maps for Needs of Navigation, Bc. thesis in Slovak, Technical University in Košice, Slovakia, 2009
9. Li S. J., Shen R. M., Fuzzy Cognitive Map Learning Based on Improved Nonlinear Hebbian Rule, in: Proc. of the Third Int. Conference on Machine Learning and Cybernetics, Shanghai, China, pp. 2301-2306, 2004
10. Madarász L., Intelligent Technologies and their Applications in Complex Systems (in Slovak), Technical University in Košice, Slovakia, p. 348
11. Oblak S., Škrjanc I., Blaží S., If Approximating Nonlinear Areas, then Consider Fuzzy Systems, IEEE Potentials, Vol. 25, No. 6, pp. 18-23, 2006
12. Papageorgiou E. I., Parsopoulos K. E., Stylios C. D., Groumpos P. P., Vrahatis M. N., Fuzzy Cognitive Maps Learning Using Particle Swarm Optimization, International Journal of Intelligent Information Systems, Springer, Vol. 25, No. 1, pp. 95-121, 2005
13. Papageorgiou E. I., Stylios C. D., Groumpos P. P., Unsupervised Learning Techniques for Fine-Tuning Fuzzy Cognitive Map Causal Links, Int. Journal of Human-Computer Studies, Elsevier, Vol. 64, pp. 727-743, 2006
14. Pozna C., Troester F., Precup R.-E., Tar, J. K., Preitl S., On the Design of an Obstacle Avoiding Trajectory: Method and Simulation, Mathematics and Computers in Simulation, Elsevier Science, Vol. 79, No. 7, pp. 2211-2226, 2009
15. Rutrich M., Adaptation of Fuzzy Cognitive Maps for Navigation Needs, MSc. thesis in Slovak, Technical University in Košice, Slovakia, 2009
16. Tar, J. K. et al., Centralized and Decentralized Applications of a Novel Adaptive Control, INES 2005, Budapest, Budapest Tech, 2005, pp. 87-92
17. Vašák J., Fuzzy Cognitive Maps in Path Planning, Acta Technica Jaurinensis, Vol. 1, No. 3, 2008, pp. 467-479
18. Vašák J., Madarász L., Automatic Adaptation of Fuzzy Controllers, Acta Polytechnica Hungarica, Budapest, Hungary, Vol. 2, No. 2, 2005, pp. 5-18