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Vol 15, 2026
Pages: 59 - 59
Abstract
Computer Sciences Editor: Darjana Sredić
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Received: 15.05.2026. >> Accepted: 18.05.2026. >> Published: 29.05.2026. Abstract Computer Sciences Editor: Darjana Sredić

DESIGN METHODOLOGY FOR FUZZY LOGIC CONTROLLERS

By
Nada Damljanović ,
Nada Damljanović
Contact Nada Damljanović

Faculty of Technical Sciences Čačak, University of Kragujevac , Čačak , Serbia

Vucelja Lekić ,
Vucelja Lekić

Faculty of Technical Sciences Čačak, University of Kragujevac , Kragujevac , Serbia

Katarina Pavlović ,
Katarina Pavlović

Faculty of Technical Sciences, University of Kragujevac , Čačak , Serbia

Mladen Janjić
Mladen Janjić

Faculty of Technical Sciences Čačak, University of Kragujevac , Čačak , Serbia

Abstract

The paper presents an insight into the mathematical basis of fuzzy linguistic modeling and discusses the sensitivity of fuzzy rule-based systems with respect to membership function parameters, rule structure, and inference mechanisms. Examples with different inference models are analyzed and compared in order to illustrate their influence on the behavior and performance of fuzzy systems. Particular attention is devoted to the effects of parameter variations on system stability, robustness, accuracy, and interpretability. The study highlights the importance of sensitivity analysis in the design of reliable fuzzy controllers.

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