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Volume 5
Issue 2
Online publication date 2011-11-01
Title Methods and algorithms of the spelling control and correction on the basis of fuzzy qualifier with MIMO-structure
Author Akmal Ahatov
Abstract
The paper shows results of developing the conceptual principles and methods in construction of hyper semantic net for natural languages spelling control and correction on a basis of neural networks and methods of fuzzy logic at the expense of expert knowledge and account of uncertainty. The ways of formalization are offered for linguistic variable and parameters, represented quantitatively and qualitative, and for performance of fuzzy sets membership functions. The operability of net including various nodes of graph model is tested. The realization of net is carried out on the basis of model with MIMO-structure, combining in itself property of the neuro-fuzzy qualifier and fuzzy production system.
Citation
References
Agrawal, R., Imielinski, T., Swami, A., 1993. Mining associations between sets of items in massive databases. Proc. of the ACM-SIGMOD  Int'l Conference on Management of Data, Washington D.C., May, pp.237-46

Akhatov, A., Jumanov, I., 2010. “Fuzzy semantic hypernet for information authenticity  controlling in electronic document circulation systems,” 4-th International Conference on application of information and communication technologies, Tashkent 

De Baets, B. 2000. “Analytical  solution methods for fuzzy relational equations,” in: D. Dubois, H. Prade (Eds.), Fundamentals of Fuzzy Sets, The Handbooks of Fuzzy Sets Series, Vol. 1, Kluwer Academic Publishers, Dordrecht, 2000, pp.291-34 

Kravtsov, А., Lipnitski, S., Nasuro, D., Pradun, D., 2005. “Intellectualization of textual information processing,” Informatics [Informatika], in Russian, No.5, pp.41-51, http://itk1.bas-net.by/magazine/number5_2005.html

Medel Juárez, J., García Infante, J., Sánchez García, J., 2010. “Fuzzy neural net digital filtering: A MIMO structure,” Automatic control and computer sciences, Vol.44, pp.139-48
Singpurwalla, N.,  Booker, J., 2004. “Membership functions and probability measures of fuzzy sets,” Journal of the American Statistical Association, September, pp.867-77

Sun, C.-T., Jang, J.-S., 1993. “A neuro-fuzzy classifier and its applications,” Proc. IEEE Int. Conference on Neural Networks, San Francisco, USA, pp.94-98

Keywords Spelling control, hyper semantic net, neural network, fuzzy qualifier, production system
DOI http://dx.doi.org/10.15208/ati.2011.10
Pages 27-37
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