doi:
UDK: 004.89,621.3

DEFUZZIFICATION METHODS COMPARISON IN FUZZY DATA PROCESSING SOFTWARE SYSTEMS FOR EMBEDDED APPLICATIONS

Хтут Ш. ., Резник Б. Л.
Article language: English

Annotation

Modern embedded control systems widely use methods and means of intelligent data processing, in particular, based on the principles of the theory of fuzzy sets. Of significant interest for improving the performance characteristics of an embedded control system with a fuzzy computer is the final stage of fuzzy information processing – defuzzification. The article discusses the results of a comparative analysis of software implementations of various defuzzification methods for fuzzy computers operating on hardware platforms of embedded microcontrollers. The set of such software implementations, each of which is characterized by indicators of accuracy, speed and resource consumption, will allow for the synthesis of embedded intelligent control systems with characteristics adequate to the problem being solved. Keywords: embedded application, microcontroller, control algоrithms, fuzzy sets.

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