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Article title ANALYSIS OF ACCURACY BY THE DEVELOPMENT OF FUZZY SYSTEMS
Authors E.D. Sinyavskaya
Section SECTION IV. METHODS OF THE ARTIFICIAL INTELLECT
Month, Year 02, 2013 @en
Index UDC
DOI
Abstract When we solve the control tasks of complex processes we have a need to develop an efficient control system. This task is connected with unauthenticity source data, uncertainty results, influence of external disturbances and qualitative information. The solution of this problem is conversion of traditional control methods to fuzzy modeling. It needs to take account of subjectivity of data definition by development of fuzzy model. We can estimate the fuzzy model using these aspects: the measures of adequacy, the accuracy ranking, control flexibility and opportunity of parameters updating.

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Keywords The fuzzy model; the measures of adequacy; the neural network; the updating of parameters; the accuracy ranking.
References 1. Кукса П.П. Обеспечение точности в нечетких системах. URL: http://paul.rutgers.edu/ ~phnksa/publications/fz accuracy - iu-04.pdf.
2. Babuska R. Construction of fuzzy systems – interplay between precission and transparency. // Proc. of Europ. Sympos. on Intell. Techn., Aachen (Germany). – 2000. – P. 445-452.
3. Рутковская Д., Пилиньский М., Рутковский Л. Нейронные сети, генетические алгоритмы и нечеткие системы: Пер. с польского И.Д. Рудинского. – М.: Горячая линия–Телеком, 2006. – 452 c.

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