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

A. E. Vassiliev; Васильев А. Е.; A. V. Vegner; Вегнер А. В.; D. E. Golubeva; Голубева Д. Е.; A. S. Dotsenko; Доценко А. С.; V. A. Karpenko; Карпенко В. А.

doi:10.31857/S0033849423060153

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

Authors: Vassiliev A.E.¹, Vegner A.V.¹, Golubeva D.E.¹, Dotsenko A.S.¹, Karpenko V.A.¹
Affiliations:
1. St. Petersburg State Marine Technical University
Issue: Vol 68, No 7 (2023)
Pages: 718-726
Section: НОВЫЕ РАДИОЭЛЕКТРОННЫЕ СИСТЕМЫ И ЭЛЕМЕНТЫ
URL: https://transsyst.ru/0033-8494/article/view/650501
DOI: https://doi.org/10.31857/S0033849423060153
EDN: https://elibrary.ru/XNQWMZ
ID: 650501

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Abstract
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Abstract

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.

Keywords

defuzzification procedure, microprocessor systems, fuzzy information processing

References

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