Rough approximation based neuro fuzzy inference system: A novel approach to approximation and error estimation

Proceedings - HIS 2005: Fifth International Conference on Hybrid Intelligent Systems

Volumn 2005, Issue , 2005, Pages 518-520

  Chandana, Sandeep ^a   Mayorga, Rene V ^a  

^a UNIVERSITY OF REGINA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; CONVERGENCE OF NUMERICAL METHODS; ERROR ANALYSIS; FUZZY SETS; NEURAL NETWORKS; ROUGH SET THEORY; TRANSFER FUNCTIONS;

ERROR ESTIMATION; NEURO FUZZY INFERENCE SYSTEMS; ROUGH APPROXIMATION;

INFERENCE ENGINES;

EID: 33846947576     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICHIS.2005.96     Document Type: Conference Paper

References (7)

1. Pawlak, Z., Rough Sets: Theoretical Aspects of Reasoning about Data, Kluwer Academic Publishers, London, 1991.
2. Z. Pawlak, "Rough Sets, Rough Relations and Rough Functions", Fundam. Inform, vol. 27 (2/3), 1996, pp. 103 - 108.
3. Z. Pawlak, "Rough Classification", Intl. J. of Human Computer Studies, vol. 51 (2), 1999, pp. 369 - 383.
4. P.Lingras, Y.Y. Yao, "Data Mining using extensions of the Rough Set Model", J. of American Society for Information Science, vol. 49 (5), 1998, pp. 415 - 422.
5. th Intl. Conf. on Information Processing and Management of Uncertainty, Universidad da Granada, Granada, 1996, pp. 1445-1450.
6. J. S. R. Jang, "ANFIS: Adaptive-Network-Based Fuzzy Inference System", IEEE Trans. on Systems, Man and Cybernetics, 1993.
7. J. S. R. Jang, C.T. Sun, E. Mizutani, Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence, Prentice Hall, New Jersey, 1997.