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Design of interval type-2 fuzzy logic systems using dung beetle optimizer for fuzzy identification

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Transactions of the Institute of Measurement and Control

Published online on

Abstract

Transactions of the Institute of Measurement and Control, Ahead of Print.
Faced with the nonlinearity and uncertainty inherent in industrial data, fuzzy identification has emerged as a focal point in system-modeling research. This article proposes a Nagar–Bardini structured interval type-2 fuzzy logic system identification ...