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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: Universiti Malaysia Sarawak 2024
Subjects:
QA75 Electronic computers. Computer science
TK Electrical engineering. Electronics Nuclear engineering
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
http://ir.unimas.my/id/eprint/46169/
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spelling my.unimas.ir.461692024-10-03T01:06:47Z http://ir.unimas.my/id/eprint/46169/ Type-1 and Interval Type-2 Monotone Takagi-Sugeno-Kang Fuzzy Inference Systems and Their Practical Application 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 2024-07-19 Thesis NonPeerReviewed text en 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 Chian Haur, Jong (2024) Type-1 and Interval Type-2 Monotone Takagi-Sugeno-Kang Fuzzy Inference Systems and Their Practical Application. PhD thesis, Faculty of Engineering.
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic QA75 Electronic computers. Computer science
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle QA75 Electronic computers. Computer science
TK Electrical engineering. Electronics Nuclear engineering
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
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
publisher Universiti Malaysia Sarawak
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
http://ir.unimas.my/id/eprint/46169/
_version_ 1812131552070467584
score 13.211869

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