Comparison of modified Karnik-Mendel algorithm-based interval type-2 ANFIS and type-1 ANFIS

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dc.contributor.authorOzturk, Muhammet
dc.contributor.authorOzkol, Ibrahim
dc.date.accessioned2024-02-23T14:23:48Z
dc.date.available2024-02-23T14:23:48Z
dc.date.issued2021
dc.departmentNEÜen_US
dc.description.abstractPurpose This study aims to propose, as the first time, the interval type-2 adaptive network-fuzzy inference system (ANFIS) structure, which is given better results compared to previously presented in the open literature. So, the ANFIS can be used effectively for training of interval type-2 fuzzy logic system (IT2FLS) parameters. Design/methodology/approach Karnik-Mendel algorithm (KMA) is modified to use in interval type-2 ANFIS. The modified Karnik-Mendel algorithm (M-KMA) is implemented to change the uncertain ANFIS parameters into known ones. In this way, the interval type-2 ANFIS removes uncertainties of IT2FLS. Therefore, the interval type-2 ANFIS is reduced to a simple one, i.e. less mathematical operation required. Only consequent parameters are trained, and the consequent parameters are chosen in the form of crisp. Findings By applying the mentioned procedure, it can be shown that interval type-2 ANFIS has generally better results compared to type-1 ANFIS. However, it was noticed that the worst results obtained in the case of interval type-2 ANFIS are equal to the best result obtained in the case of type-1 ANFIS. Therefore, users in this field can use this approach in solving nonlinear problems. Practical implications The interval type-2 ANFIS can be used as controller for highly nonlinear systems such as air vehicles. Originality/value As stated in the open literature, it is ineffective to use ANFIS for IT2FLS. In this study, the KMA is modified for IT2FLS, and it is seen that the ANFIS can be used effectively for IT2FLS.en_US
dc.identifier.doi10.1108/AEAT-11-2020-0268
dc.identifier.endpage1532en_US
dc.identifier.issn1748-8842
dc.identifier.issn1758-4213
dc.identifier.issue10en_US
dc.identifier.scopus2-s2.0-85114723132en_US
dc.identifier.startpage1526en_US
dc.identifier.urihttps://doi.org/10.1108/AEAT-11-2020-0268
dc.identifier.urihttps://hdl.handle.net/20.500.12452/13699
dc.identifier.volume93en_US
dc.identifier.wosWOS:000695961600001en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherEmerald Group Publishing Ltden_US
dc.relation.ispartofAircraft Engineering And Aerospace Technologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectLeast Square Estimationen_US
dc.subjectAnfisen_US
dc.subjectGradient Descent Methoden_US
dc.subjectInterval Type-2 Fuzzy Logic Systemsen_US
dc.subjectKarnik-Mendel Algorithmen_US
dc.titleComparison of modified Karnik-Mendel algorithm-based interval type-2 ANFIS and type-1 ANFISen_US
dc.typeArticleen_US

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