A hybrid algorithm of interval type-2 fuzzy logic system and generalized adaptive resonance theory for medical data classification

Arts computing; Classification (of information); Computer aided diagnosis; Computer circuits; Diagnosis; Diseases; Functional polymers; Fuzzy inference; Neural networks; Resonance; Uncertainty analysis; Adaptive resonance theory; Adaptive resonance theory networks; Classification tasks; Generalized...

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Main Authors: Leow S.Y., Wong S.Y., Yap K.S., Yap H.J.
Other Authors: 57193235970
Format: Article
Published: IOS Press 2023
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spelling my.uniten.dspace-250222023-05-29T15:30:31Z A hybrid algorithm of interval type-2 fuzzy logic system and generalized adaptive resonance theory for medical data classification Leow S.Y. Wong S.Y. Yap K.S. Yap H.J. 57193235970 55812054100 24448864400 35319362200 Arts computing; Classification (of information); Computer aided diagnosis; Computer circuits; Diagnosis; Diseases; Functional polymers; Fuzzy inference; Neural networks; Resonance; Uncertainty analysis; Adaptive resonance theory; Adaptive resonance theory networks; Classification tasks; Generalized Regression Neural Network(GRNN); Interval type-2 fuzzy logic systems; Model uncertainties; Regression problem; Type 2 fuzzy sets (T2 FS); Fuzzy logic The hybrid of artificial neural network (ANN) and fuzzy logic system (FLS) can expend itself dynamically in a strong discovery of explicit knowledge to solve classification and regression problems with new input patterns. In this paper, a hybrid of Generalized Adaptive Resonance Theory (GART) and interval type-2 fuzzy logic system (IT2FLS) algorithm is proposed, and named as Generalized Adaptive Resonance Theory and interval type-2 fuzzy logic system (GART-IT2FLS). The GART is a combination of adaptive resonance theory network (ART) and Generalized Regression Neural Network (GRNN). GART is capable to deal with classification task effectively. However, type-2 fuzzy sets (T2 FS) is used to represent and model the uncertainties on inputs. The performance evaluation of GART-IT2FLS algorithm in three medical datasets has proven that GART-IT2FLS is capable to learn incrementally without plasticity-stability dilemma, and model uncertainties in medical datasets. The inferences of GAR-IT2FLS in these applications are discussed. The performance results show that GART-IT2FLS has obtained a comparable number of rules. The Wisconsin Breast Cancer and Heart Disease experiments demonstrated GART-IT2FLS has improved the testing accuracies. � 2019 - IOS Press and the authors. All rights reserved. Final 2023-05-29T07:30:31Z 2023-05-29T07:30:31Z 2019 Article 10.3233/IDT-190358 2-s2.0-85064395775 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064395775&doi=10.3233%2fIDT-190358&partnerID=40&md5=e692ded451f7fa7570c49cc2537bbf5c https://irepository.uniten.edu.my/handle/123456789/25022 13 1 81 89 IOS Press Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Arts computing; Classification (of information); Computer aided diagnosis; Computer circuits; Diagnosis; Diseases; Functional polymers; Fuzzy inference; Neural networks; Resonance; Uncertainty analysis; Adaptive resonance theory; Adaptive resonance theory networks; Classification tasks; Generalized Regression Neural Network(GRNN); Interval type-2 fuzzy logic systems; Model uncertainties; Regression problem; Type 2 fuzzy sets (T2 FS); Fuzzy logic
author2 57193235970
author_facet 57193235970
Leow S.Y.
Wong S.Y.
Yap K.S.
Yap H.J.
format Article
author Leow S.Y.
Wong S.Y.
Yap K.S.
Yap H.J.
spellingShingle Leow S.Y.
Wong S.Y.
Yap K.S.
Yap H.J.
A hybrid algorithm of interval type-2 fuzzy logic system and generalized adaptive resonance theory for medical data classification
author_sort Leow S.Y.
title A hybrid algorithm of interval type-2 fuzzy logic system and generalized adaptive resonance theory for medical data classification
title_short A hybrid algorithm of interval type-2 fuzzy logic system and generalized adaptive resonance theory for medical data classification
title_full A hybrid algorithm of interval type-2 fuzzy logic system and generalized adaptive resonance theory for medical data classification
title_fullStr A hybrid algorithm of interval type-2 fuzzy logic system and generalized adaptive resonance theory for medical data classification
title_full_unstemmed A hybrid algorithm of interval type-2 fuzzy logic system and generalized adaptive resonance theory for medical data classification
title_sort hybrid algorithm of interval type-2 fuzzy logic system and generalized adaptive resonance theory for medical data classification
publisher IOS Press
publishDate 2023
_version_ 1806427894956687360
score 13.214268