Methods of reducing the computational complexity of fuzzy inference algorithms for implementation on a microcontroller with limited computational resources

In our work we suggest the most effective ways to reduce the complexity of computing 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 results of model experiments.