Type‐3 Fuzzy System‐Based Intelligent Control Approaches and Applications

Type‐3 fuzzy logic has been recently used in many control methods. The type‐3 fuzzy controller enhances the handling of uncertainty and improves robustness by integrating fuzzy sets with fuzzy membership functions. The latest approaches using type‐3 fuzzy logic in the field of control are studied and evaluated. An overview of developments in control methods based on type‐3 fuzzy logic is also provided. It is shown that type‐3 fuzzy system has many advantages compared to type‐1 and type‐2 fuzzy. The advantages and challenges of using type‐3 fuzzy logic are identified and discussed. The studies are classified according to the type of control approach, as well as by the type of control applications. Finally, the main achievements, open challenges, and future directions and impacts are identified, to provide important guidance for interested researchers.

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Publication Details

Journal
Advances in Fuzzy Systems
Published
2025-01-01
DOI
https://doi.org/10.1155/adfs/6661495
Citations
7
Primary Topic
Fuzzy Logic and Control Systems
Type
article
Field-Weighted Citation Impact
17.37
Controls
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article

Type‐3 Fuzzy System‐Based Intelligent Control Approaches and Applications

Abdulkareem Y. Abdalla, Adala M. Chyaid, Turki Y. Abdalla
7 citations
Advances in Fuzzy Systems
Fuzzy Logic and Control Systems
17.37
article

Type‐3 Fuzzy System‐Based Intelligent Control Approaches and Applications

Abdulkareem Y. Abdalla, Adala M. Chyaid, Turki Y. Abdalla
article en
7 citations

Abstract

Type‐3 fuzzy logic has been recently used in many control methods. The type‐3 fuzzy controller enhances the handling of uncertainty and improves robustness by integrating fuzzy sets with fuzzy membership functions. The latest approaches using type‐3 fuzzy logic in the field of control are studied and evaluated. An overview of developments in control methods based on type‐3 fuzzy logic is also provided. It is shown that type‐3 fuzzy system has many advantages compared to type‐1 and type‐2 fuzzy. The advantages and challenges of using type‐3 fuzzy logic are identified and discussed. The studies are classified according to the type of control approach, as well as by the type of control applications. Finally, the main achievements, open challenges, and future directions and impacts are identified, to provide important guidance for interested researchers.

Advances in Fuzzy SystemsVol. 2025(1)
University of Basrah (IQ)
Openalex Percentile: Top 1%
Fuzzy Logic and Control Systems
17.37
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