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Journal of Information and Optimization Sciences cover
Hybrid ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667

WoS  JIF 2026 : 0.4 (Q4)

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Monthly Journal: Publishes theoretical and applied research on topics in information and optimization sciences.

Issues up to 2022 co-published with and available at:Taylor & Francis
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Open Access Research Article

Implementing fuzzy control systems in automotive engineering for optimization

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pp. 1851–1860Vol. 47Issue 5-AMay 2026DOI: 10.47974/JIOS-2277XML
Received:
01 Apr 2025
Published Online:
23 Apr 2026
Article type:
Research Article
Language:
EN
Article no.:
JIOS-2277
Pages:
1851–1860

Abstract

This paper represent the fuzzy control systems can be used in automobile engineering to improve important parts of a car like the engine’s performance, gas mileage, and stability control. In this study, a fuzzy control system for automobile uses is created by using fuzzy logic’s built-in ability to deal with uncertainty and nonlinearities. Using advanced optimization methods like genetic algorithms and particle swarm optimization together improves the accuracy of control and the flexibility of the system even more.  The approach shows big changes in how well controls work in different kinds of situations. To make car systems more reliable and efficient, the results show that fuzzy control systems mixed with optimization methods work well.

Keywords

Subject Classifications

03B52

References

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