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

Author:

Vassiliev A. E.1,Vegner A. V.1,Golubeva D. E.1,Dotsenko A. S.1,Karpenko V. A.1

Affiliation:

1. St. Petersburg State Marine Technical University

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.

Publisher

The Russian Academy of Sciences

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