Vol. 52 No. 1 (2026), Статьи
Vol. 52 No. 1 (2026)

FUZZY INFERENCE SYSTEMS FOR INDUSTRIAL PROCESS CONTROL

Статьи
Published 2026-05-30
  • Akmaljon Yuldashev
Akmaljon Yuldashev
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Keywords

Keywords: Fuzzy logic, fuzzy inference system, industrial control, uncertainty modeling, decision making.

How to Cite

Akmaljon Yuldashev. “FUZZY INFERENCE SYSTEMS FOR INDUSTRIAL PROCESS CONTROL”. World Scientific Research Journal 52, no. 1 (May 30, 2026): 42–44. Accessed July 15, 2026. https://openresearch-hub.com/index.php/wsrj/article/view/2232.
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Abstract

Abstract: This article presents an extended study on the fuzzy inference model designed for controlling industrial production systems. The paper explains the theoretical basis of fuzzy logic, membership functions, fuzzy rule-based systems, defuzzification methods, and practical application scenarios. Mathematical formulations, graphical representations, and detailed explanations are provided to illustrate the effectiveness of fuzzy inference in handling uncertainties in control processes.

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