Type-1 and Interval Type-2 Monotone Takagi-Sugeno-Kang Fuzzy Inference Systems and Their Practical Application

This research focuses on the analysis and application of Type-1 (T1) and Interval Type-2 (IT2) Fuzzy Inference Systems (FIS) to ensure monotonicity, a fundamental concept delineating functions with consistent behavior. Even though mathematical conditions to ensure the monotonicity property of T1 and...

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Main Author:	Chian Haur, Jong
Format:	Thesis
Language:	English
Published:	2024
Subjects:	QA75 Electronic computers Computer science
Online Access:	http://ir.unimas.my/id/eprint/46169/3/Type-1%20and%20Interval%20Type-2%20Monotone%20Takagi-Sugeno-Kang%20Fuzzy%20Inference%20Systems%20and%20Their%20Practical%20Application%20%5BSigned%5D.pdf
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id	my-unimas-ir.46169
record_format	uketd_dc
spelling	my-unimas-ir.461692024-10-03T01:06:47Z Type-1 and Interval Type-2 Monotone Takagi-Sugeno-Kang Fuzzy Inference Systems and Their Practical Application 2024-07-19 Chian Haur, Jong QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering This research focuses on the analysis and application of Type-1 (T1) and Interval Type-2 (IT2) Fuzzy Inference Systems (FIS) to ensure monotonicity, a fundamental concept delineating functions with consistent behavior. Even though mathematical conditions to ensure the monotonicity property of T1 and IT2 FIS are available, it is not clear how to design the fuzzy membership functions (FMFs) at the antecedent part of a fuzzy rule base such that the resulting FIS model is always monotone. This research addresses the uncertainties and inconsistencies in fuzzy rules affecting the monotonicity of FIS outputs. The study reviews sufficient conditions for T1 and IT2 FIS to satisfy monotonicity, analyzing T1 FIS through simulation experiments and exploring its applications in image processing (edge detection) and COVID-19 mitigation strategies. IT2 FIS is similarly reviewed and analyzed. The research investigates a Transmission Cause and Effect Analysis (TCEA) procedure using monotone Interval Type-2 Takagi-Sugeno-Kang (TSK) FIS and tests its applicability in image processing. MATLAB is used for simulation experiments, measuring effectiveness through performance metrics specific to image processing and COVID-19 mitigation. This multidisciplinary approach combines theoretical analysis with practical applications, contributing to the understanding of how fuzzy logic can be leveraged in various domains. The findings are expected to benefit researchers and practitioners addressing complex problems and underline the potential of FIS in nonlinear systems modelling. Universiti Malaysia Sarawak 2024-07 Thesis http://ir.unimas.my/id/eprint/46169/ http://ir.unimas.my/id/eprint/46169/3/Type-1%20and%20Interval%20Type-2%20Monotone%20Takagi-Sugeno-Kang%20Fuzzy%20Inference%20Systems%20and%20Their%20Practical%20Application%20%5BSigned%5D.pdf text en public phd doctoral Faculty of Engineering Electronic and Electrical Department
institution	Universiti Malaysia Sarawak
collection	UNIMAS Institutional Repository
language	English
topic	QA75 Electronic computers Computer science QA75 Electronic computers Computer science
spellingShingle	QA75 Electronic computers Computer science QA75 Electronic computers Computer science Chian Haur, Jong Type-1 and Interval Type-2 Monotone Takagi-Sugeno-Kang Fuzzy Inference Systems and Their Practical Application
description	This research focuses on the analysis and application of Type-1 (T1) and Interval Type-2 (IT2) Fuzzy Inference Systems (FIS) to ensure monotonicity, a fundamental concept delineating functions with consistent behavior. Even though mathematical conditions to ensure the monotonicity property of T1 and IT2 FIS are available, it is not clear how to design the fuzzy membership functions (FMFs) at the antecedent part of a fuzzy rule base such that the resulting FIS model is always monotone. This research addresses the uncertainties and inconsistencies in fuzzy rules affecting the monotonicity of FIS outputs. The study reviews sufficient conditions for T1 and IT2 FIS to satisfy monotonicity, analyzing T1 FIS through simulation experiments and exploring its applications in image processing (edge detection) and COVID-19 mitigation strategies. IT2 FIS is similarly reviewed and analyzed. The research investigates a Transmission Cause and Effect Analysis (TCEA) procedure using monotone Interval Type-2 Takagi-Sugeno-Kang (TSK) FIS and tests its applicability in image processing. MATLAB is used for simulation experiments, measuring effectiveness through performance metrics specific to image processing and COVID-19 mitigation. This multidisciplinary approach combines theoretical analysis with practical applications, contributing to the understanding of how fuzzy logic can be leveraged in various domains. The findings are expected to benefit researchers and practitioners addressing complex problems and underline the potential of FIS in nonlinear systems modelling.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Chian Haur, Jong
author_facet	Chian Haur, Jong
author_sort	Chian Haur, Jong
title	Type-1 and Interval Type-2 Monotone Takagi-Sugeno-Kang Fuzzy Inference Systems and Their Practical Application
title_short	Type-1 and Interval Type-2 Monotone Takagi-Sugeno-Kang Fuzzy Inference Systems and Their Practical Application
title_full	Type-1 and Interval Type-2 Monotone Takagi-Sugeno-Kang Fuzzy Inference Systems and Their Practical Application
title_fullStr	Type-1 and Interval Type-2 Monotone Takagi-Sugeno-Kang Fuzzy Inference Systems and Their Practical Application
title_full_unstemmed	Type-1 and Interval Type-2 Monotone Takagi-Sugeno-Kang Fuzzy Inference Systems and Their Practical Application
title_sort	type-1 and interval type-2 monotone takagi-sugeno-kang fuzzy inference systems and their practical application
granting_institution	Faculty of Engineering
granting_department	Electronic and Electrical Department
publishDate	2024
url	http://ir.unimas.my/id/eprint/46169/3/Type-1%20and%20Interval%20Type-2%20Monotone%20Takagi-Sugeno-Kang%20Fuzzy%20Inference%20Systems%20and%20Their%20Practical%20Application%20%5BSigned%5D.pdf
_version_	1818611689607659520

Type-1 and Interval Type-2 Monotone Takagi-Sugeno-Kang Fuzzy Inference Systems and Their Practical Application

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