Increasing the Quality Indicators of the Functioning of Fuzzy Solvers at the Defuzzification Stage

An approach to the implementation of the defuzzification procedure in microprocessor systems of fuzzy information processing is proposed. A computationally efficient model of the defuzzification operation is considered, based on the use of the concept of the measure of validity of a logical conclusi...

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Veröffentlicht in:Journal of communications technology & electronics 2023-07, Vol.68 (7), p.810-818
Hauptverfasser: Vassiliev, A. E., Vegner, A. V., Golubeva, D. E., Dotsenko, A. S., Karpenko, V. A.
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container_issue 7
container_start_page 810
container_title Journal of communications technology & electronics
container_volume 68
creator Vassiliev, A. E.
Vegner, A. V.
Golubeva, D. E.
Dotsenko, A. S.
Karpenko, V. A.
description An approach to the implementation of the defuzzification procedure in microprocessor systems of fuzzy information processing is proposed. A computationally efficient model of the defuzzification operation is considered, based on the use of the concept of the measure of validity of a logical conclusion as a composition of the current values of the reliability of all elements of the conditional part of the rule that proposes this conclusion. The application of the approach provides a significant improvement in the quality of fuzzy approximation with little complexity of algorithmic and hardware-software tools. Examples of the use of this approach in practical problems are given.
doi_str_mv 10.1134/S1064226923060153
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subjects Analysis
Communications Engineering
Data processing
Engineering
Fuzzy logic
Fuzzy systems
Networks
Novel Radio Systems and Elements
Quality control
Software
title Increasing the Quality Indicators of the Functioning of Fuzzy Solvers at the Defuzzification Stage
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