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Genetic learning and performance evaluation of interval type-2 fuzzy logic controllers

Authors:

Woei Wan TanAuthors Info & Claims

Engineering Applications of Artificial Intelligence, Volume 19, Issue 8

Pages 829 - 841

https://doi.org/10.1016/j.engappai.2005.12.011

Published: 01 December 2006 Publication History

Abstract

Type-2 fuzzy sets, which are characterized by membership functions (MFs) that are themselves fuzzy, have been attracting interest. This paper focuses on advancing the understanding of interval type-2 fuzzy logic controllers (FLCs). First, a type-2 FLC is evolved using Genetic Algorithms (GAs). The type-2 FLC is then compared with another three GA evolved type-1 FLCs that have different design parameters. The objective is to examine the amount by which the extra degrees of freedom provided by antecedent type-2 fuzzy sets is able to improve the control performance. Experimental results show that better control can be achieved using a type-2 FLC with fewer fuzzy sets/rules so one benefit of type-2 FLC is a lower trade-off between modeling accuracy and interpretability.

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Cited By

Shui YDong LZhang YSun C(2024)Switching-Event-Based Interval Type-2 T–S Variable Direction Fuzzy Control for Time-Delay Systems With Unknown Control DirectionsIEEE Transactions on Fuzzy Systems10.1109/TFUZZ.2023.333174232:7(3879-3890)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1109/TFUZZ.2023.3331742
Shui YDong LZhang YSun C(2024)Switching-Event-Based Interval Type-2 Fuzzy Control for a Class of Uncertain Nonlinear SystemsIEEE Transactions on Fuzzy Systems10.1109/TFUZZ.2023.330242032:2(562-573)Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1109/TFUZZ.2023.3302420
Chang WLin YKu CPen C(2023)Interval Type-2 Fuzzy Control for Multi-Agent Systems: Application to Formation and Containment Problem of Unmanned Surface VesselsProceedings of the 2023 6th International Conference on Electronics, Communications and Control Engineering10.1145/3592307.3592349(264-270)Online publication date: 24-Mar-2023
https://dl.acm.org/doi/10.1145/3592307.3592349
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Genetic learning and performance evaluation of interval type-2 fuzzy logic controllers
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cover image Engineering Applications of Artificial Intelligence

Engineering Applications of Artificial Intelligence Volume 19, Issue 8

December, 2006

157 pages

ISSN:0952-1976

Issue’s Table of Contents

Copyright © Elsevier Ltd © 2006.

Publisher

Pergamon Press, Inc.

United States

Publication History

Published: 01 December 2006

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Cited By

Shui YDong LZhang YSun C(2024)Switching-Event-Based Interval Type-2 T–S Variable Direction Fuzzy Control for Time-Delay Systems With Unknown Control DirectionsIEEE Transactions on Fuzzy Systems10.1109/TFUZZ.2023.333174232:7(3879-3890)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1109/TFUZZ.2023.3331742
Shui YDong LZhang YSun C(2024)Switching-Event-Based Interval Type-2 Fuzzy Control for a Class of Uncertain Nonlinear SystemsIEEE Transactions on Fuzzy Systems10.1109/TFUZZ.2023.330242032:2(562-573)Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1109/TFUZZ.2023.3302420
Chang WLin YKu CPen C(2023)Interval Type-2 Fuzzy Control for Multi-Agent Systems: Application to Formation and Containment Problem of Unmanned Surface VesselsProceedings of the 2023 6th International Conference on Electronics, Communications and Control Engineering10.1145/3592307.3592349(264-270)Online publication date: 24-Mar-2023
https://dl.acm.org/doi/10.1145/3592307.3592349
Dombi JHussain A(2023)Data-Driven Interval Type-2 Fuzzy Inference System Based on the Interval Type-2 Distending FunctionIEEE Transactions on Fuzzy Systems10.1109/TFUZZ.2022.322479331:7(2345-2359)Online publication date: 1-Jul-2023
https://dl.acm.org/doi/10.1109/TFUZZ.2022.3224793
Qahtan SYatim KZulzalil HOsman MZaidan AAlsattar H(2023)Review of healthcare industry 4.0 application-based blockchain in terms of security and privacy development attributesJournal of Network and Computer Applications10.1016/j.jnca.2022.103529209:COnline publication date: 1-Jan-2023
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Kaur HKhosla MSarin R(2022)Hybrid Type-2 Fuzzy Based Channel Estimation for MIMO-OFDM System with Doppler Offset InfluencesWireless Personal Communications: An International Journal10.1007/s11277-019-06460-5108:2(1131-1143)Online publication date: 10-Mar-2022
https://dl.acm.org/doi/10.1007/s11277-019-06460-5
De AChakraborty DBiswas A(2022)Literature review on type-2 fuzzy set theorySoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-022-07304-426:18(9049-9068)Online publication date: 1-Sep-2022
https://dl.acm.org/doi/10.1007/s00500-022-07304-4
Raj RMohan BLee DYang J(2022)Derivation and structural analysis of a three-input interval type-2 TS fuzzy PID controllerSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-021-06601-826:2(589-603)Online publication date: 1-Jan-2022
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Esmaeili JBaşçi A(2021)Design and Implementation of LMI-Based H2 Control for Vertical Nonlinear Coupled-Tank SystemInternational Journal of System Dynamics Applications10.4018/IJSDA.20211001.oa1410:4(1-16)Online publication date: 15-Oct-2021
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Salih MAlbahri OZaidan AZaidan BJumaah FAlbahri A(2021)Benchmarking of AQM methods of network congestion control based on extension of interval type-2 trapezoidal fuzzy decision by opinion score methodTelecommunications Systems10.1007/s11235-021-00773-277:3(493-522)Online publication date: 1-Jul-2021
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