A fuzzy backpropagation algorithm

Fuzzy Sets and Systems

Volumn 112, Issue 1, 2000, Pages 27-39

  Stoeva, Stefka ^a   Nikov, Alexander ^b  

^a Bulgarian National Library   (Bulgaria)

^b TECHNICAL UNIVERSITY OF SOFIA   (Bulgaria)

Author keywords

Fuzzy logic; Learning algorithm; Multicriteria analysis; Neural networks

Indexed keywords

EID: 0001830491     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-0114(98)00079-7     Document Type: Article

References (21)

1. J. Angstenberger, M. Fochem, R. Weber, Intelligent data analysis - methods and applications, in: H.-J. Zimmermann (Ed.), Proc. 1st Eur. Congr. on Fuzzy and Intelligent Technologies EUFIT'93, Verlag Augustinius Buchhandlung, Aachen, 1993, pp. 1027-1030.
2. M. Brown, C. Harris, Neurofuzzy Adaptive Modelling and Control, Prentice-Hall, New York, 1994.
3. D. Dubois, H. Prade, Fuzzy Sets and Systems: Theory and Applications, Academic Press, New York, 1980.
4. G. Grunst, R. Oppermann, C.G. Thomas, Adaptive and adaptable systems, in: P. Hoschka (Ed.), A New Generation of Support Systems, Lawrence Erlbaum Associates, Hillsdale, 1996, pp. 29-46.
5. R. de Hoog et al., The Common KADS model set, ESPRIT Project P5248 KADS-II, University of Amsterdam, Amsterdam, 1993.
6. E. Ikonen, K. Najim, Fuzzy neural networks and application to the FBC process, IEE Proc. Control Theory Appl. 143 (3) (1996) 259-269.
7. M. Jäger, K. Hecktor, W. Laurig, Ergon expert - a knowledge-based system for the evaluation and design of manual materials handling, in: Y. Quéinnec, F. Daniellou (Eds.), Proc. 11th Congr. of IEA Designing for Everyone, Taylor & Francis, London, 1991, pp. 411-413.
8. M. Keller, H. Tahani, Backpropagation neural network for fuzzy logic, Inform. Sci. 62 (1992) 205-221.
9. J.-H. Kirchner, Ergonomic assessment of products: some general considerations, in: Proc. 13th Triennial Congr. International Ergonomics Association, vol. 2, Tampere, Finland, 1997, pp. 56-58.
10. C.-H. Lin, C.-T. Lin, An ART-based fuzzy adaptive learning control network, IEEE Trans. Fuzzy Systems 5 (4) (1997) 477-496.
11. D. Nauck, F. Klawonn, R. Kruse, Foundations on Neuro-Fuzzy Systems, Wiley, Chichester, 1997.
12. S. Neubert, F. Maurer, A tool for model-based knowledge engineering, Proc. 3rd KADS Meeting, Munich, 1993, pp. 97-112.
13. A. Nikov, G. Matarazzo, A methodology for human factors analysis of office automation systems, Technol. Forecasting Social Change 44 (2) (1993) 187-197.
14. A. Nikov et al., ISSUE: an intelligent software system for usability evaluation of hypermedia user interfaces, in: A.F. Ozok, G. Salvendy (Eds.), Advances in Applied Ergonomics, USA Publishing Co., West Lafayette, 1996, pp. 1038-1041.
15. A. Nikov, S. Delichev, S. Stoeva, A neuro-fuzzy approach for user interface adaptation implemented in the information system of Bulgarian parliament, in: Proc. 13th Int. Ergonomics Congr. IEA'97, vol. 5, Tampere, Finland, 1997, pp. 100-112.
16. R. Oppermann, H. Reiterer, Software evaluation using 9241 evaluator, Behaviour Inform. Technol. 16 (4/5) (1997) 232-245.
17. R. Rojas, Neural Networks, A Systematic Introduction, Springer, Berlin, 1996.
18. D.E. Rumelhardt, G.E. Hinton, R.J. Williams, Learning internal representations by error propagation, in: D.E. Rumelhardt, J.L. McClelland, PDP Research Group (Eds.), Parallel Distributed Processing. Exploration in the Microstructure of Cognition, vol. 1, foundations, MIT Press, Cambridge, MA, 1986, pp. 318-362.
19. S. Stoeva, A weight-learning algorithm for fuzzy production systems with weighting coefficients, Fuzzy Sets and Systems 48 (1) (1992) 87-97.
20. S. Stoeva, A. Nikov, A fuzzy knowledge-based mechanism for computer-aided ergonomic evaluation of industrial products, Simulation Control C 25 (3) (1991) 17-30.
21. S. Wang, N.P. Archer, A neural network technique in modelling multiple criteria multiple person decision making, Comput. Oper. Res. 21 (2) (1994) 127-142.