Fuzzy knowledge learning via adaptive Fuzzy Petri Net with Triangular function model

Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Volumn 1, Issue , 2006, Pages 4249-4253

  Canales, Jair Cervantes ^a   Li, Xiaoou ^a   Yu, Wen ^a  

^a DEPARTAMENTO DE FÍSICA   (Mexico)

Author keywords

Fuzzy logic; Knowledge; Learning; Petri net

Indexed keywords

BACKPROPAGATION; CONVERGENCE OF NUMERICAL METHODS; EXPERT SYSTEMS; FUZZY LOGIC; MATHEMATICAL MODELS; PETRI NETS;

FUZZY MODEL; KNOWLEDGE INFERENCE FRAMEWORK; TRIANGULAR FUNCTION MODEL;

LEARNING SYSTEMS;

EID: 34047203445     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCICA.2006.1713176     Document Type: Conference Paper

References (20)

1. A.J.Bugarin, S.Barro, Fuzzy Reasoning Supported by Petri Nets, IEEE Trans. Fuzzy System, 135-150, Vol.2, No.2, 1994
2. S.M.Chen, Fuzzy Backward Reasoning Using Fuzzy Petri Nets, IEEE Trans. SMC-Part B, Vol 30, No. 6, Dec. 2000.
3. S.M.Chen, J.S.Ke, J.F.Chang, Knowledge Representation Using Fuzzy Petri Nets, IEEE Trans.Knowledge and Data Eng., Vol 2, No. 3, 1990.
4. S. M.Chen, Weighted Fuzzy Reasoning Using Weighted Fuzzy Petri Nets, IEEE Trans. Knowledge and Data Eng., Vol 14. No 2, 2002.
5. M.Hanna, Modeling product quality in a machining center using fuzzy Petri nets with neural networks, IEEE Proceedings International Conference on Robotics and Automation, Volume: 2 , 10-15, Pages: 1502 -1507 May 1999
6. K. Hirota and W Pedrycz, OR/AND neuron in modeling fuzzy set connectives, IEEE Trans. Fuzzy Systems, vol.2, no.2, pp.151-161, 1994
7. J.S.Jang, C.T.Sun and E.Mizutani, Neuro-Fuzzy and Soft Compting: A computational approach to learning and machine intelligence, Prentice-Hall, Upper Saddle River, NJ 07458, 1997.
8. A.Kaufmann, M.Gupta, Fuzzy Mathematical Models in Engineering and Management Science, New York: Elsevier, 1988.
9. C.T.Lin and G.Lee, Neural fuzzy systems: A neural-fuzzy synergism to intelligent systems, Prentice-Hall Inc., NJ, 1996.
10. C.G. Looney, Fuzzy Petri nets and applications, Fuzzy Reasoning in Information, Decision and Control Systems, edited by Spyros G. Tzafestas and Anastasios N. Venetsanopoulos, Kluwer Academic Publisher, 511-527, 1994
11. X.Li, F.L.Rosano.Adaptive Fuzzy Petri Nets for Dynamic Knowledge Reprentation and Inference, Expert Syst. Applicat., Vol 19, No.3, 2000.
12. X.Li, W.Yu, F.L.Rosano, Dynamic Knowledge Inference and Learning Under Adaptive Fuzzy Petri Net Framework", IEEE Trans. SMC-Part C, Vol. 30, No. 4, 2000.
13. W.Pedricz, F.Gomide, A Generalized Fuzzy Petri Net Model, IEEE Trans. Fuzzy Systems, Vol. 2, No 4, 295-301, 1994.
14. C.O.Probst, Bosch Fuel Injection and Engine Management, Bosch, 1991
15. H.Scarpelli, S.Gomide, A High-Level Fuzzy Net Approach for Discovering Potential Inconsistencies in Fuzzy Knowledge Bases, Fuzzy Sets and Systems, Vol.64, 175-193, 1994.
16. Scarpelli, H.; Gomide, F., Consistency checking based on high level fuzzy Petri nets, Proceedings of the Third IEEE Conference on Fuzzy Systems, Pages: 1957-1962, vol.326-29 June 1994
17. M.G.Roh, S.E.Hong, Control and monitoring of factory automation system using fuzzy Petri nets IEEE International Symposium on Industrial Electronics, Pages: 144-149, Volume: 1, 12-16 June 2001
18. D. S.Yeung, E. C. C.Tsang, Fuzzy Knowledge Representation and Reasoning Using Petri Nets, Expert Syst. Applicat., Vol 7, 182-190, 1994.
19. D. S.Yeung, E. C.Tsang, A Multilevel Weighted Fuzzy Reasoning Algorithm for Expert Systems, IEEE Trans. SMC-Part A, Vol 28, No. 2, 1998.
20. L.A.Zadeh, Fuzzy Sets, Information and Control, Vol.8, 338-353, 1965