Author/Authors :
Zhartybayeva, M.G. L.Gumilyov Eurasian National University - Faculty of information Technologies, Astana, Kazakhstan , Tatur, M.M. Department of Electronic Computing Machines - Belarusian State University of Informatics and Radioelectronics, Minsk, Belarus , Shaverdo, M.M. Department of Electronic Computing Machines - Belarusian State University of Informatics and Radioelectronics, Minsk, Belarus , Iskakov, K.T. L.Gumilyov Eurasian National University - Faculty of information Technologies, Astana, Kazakhstan
Abstract :
In our work we suggest the most effective ways to reduce the complexity of com-
puting fuzzy inference algorithms, which do not lead to a valuable decrease in the control
quality. Our suggestions will be analytically formulated, illustrated with examples and re-
sults of model experiments.
