METHODS OF REDUCING THE COMPUTATIONAL COMPLEXITY OF FUZZY INFERENCE ALGORITHMS FOR IMPLEMENTATION ON A MICROCONTROLLER WITH LIMITED COMPUTATIONAL RESOURCES

被引：0

作者：

Zhartybayeva, M. G. ^{[1
]}

Tatur, M. M. ^{[2
]}

Shaverdo, M. M. ^{[2
]}

Iskakov, K. T. ^{[1
]}

机构：

[1] L Gumilyov Eurasian Natl Univ, Fac Informat Technol, Pushkin St 11, Astana, Kazakhstan

[2] Belarusian State Univ Informat & Radioelect, Dept Elect Comp Machines, Minsk, BELARUS

来源：

EURASIAN JOURNAL OF MATHEMATICAL AND COMPUTER APPLICATIONS | 2019年 / 7卷 / 01期

关键词：

fuzzy inference algorithms; fuzzy logic; control system;

D O I：

10.32523/2306-6172-2019-7-1-65-78

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

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.

引用

页码：65 / 78

页数：14

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