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Single-Input-Rule-Modules connected fuzzy inference system and its applications to failure mode and effect analysis

Two major shortcomings of the traditional fuzzy inference systems (FISs) e.g., Mamdani FIS and T -S FIS models, are (i) its difficulty to form a complete fuzzy rule base when the number of required rules is large, and (ii) the fulfillment of monotonicity property. The aims of this thesis are to anal...

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Main Author: Jong, Chian Haur
Format: Thesis
Language:English
Published: Universiti Malaysia Sarawak, (UNIMAS) 2015
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://ir.unimas.my/id/eprint/12068/1/Jong.pdf
http://ir.unimas.my/id/eprint/12068/
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spelling my.unimas.ir.120682023-05-24T02:35:37Z http://ir.unimas.my/id/eprint/12068/ Single-Input-Rule-Modules connected fuzzy inference system and its applications to failure mode and effect analysis Jong, Chian Haur TK Electrical engineering. Electronics Nuclear engineering Two major shortcomings of the traditional fuzzy inference systems (FISs) e.g., Mamdani FIS and T -S FIS models, are (i) its difficulty to form a complete fuzzy rule base when the number of required rules is large, and (ii) the fulfillment of monotonicity property. The aims of this thesis are to analyze the use of a relatively new FIS, i.e., Single-Input-Rule-Modules (SIRMs) connected FIS, and a simplified theorem, as a solution for aforementioned shortcomings. Besides, a monotonicity test procedure is used to evaluate the fulfillment of monotonicity property, empiricall,J In this thesis, lhe applicability of lhe SIRMs connected FIS, its simplified theorem, and a monotonicity test procedure; to real world problems (i.e., Failure Mode and Effect Analysis (FMEA) and a water level control problems) are demonstrated. A new FMEA procedure with the SIRMs connected FIS and the simplified theorem is proposed. The simplified theorem is adopted as the governing equations to allow the SIRMs connected FIS model in FMEA to be constructed. Besides, the usefulness of the proposed FMEA procedure in agriculture i.e., edible bird nest (EBN) processing and semiconductor industry are demonstrated. The contributions of this thesis are three folds, (i) simplification of a theorem and monotonicity test for real world applications, (ii) a new FMEA procedure with the SIRMs connected FIS and (iii) case studies on BBN processing and semiconductor industry. Universiti Malaysia Sarawak, (UNIMAS) 2015 Thesis NonPeerReviewed text en http://ir.unimas.my/id/eprint/12068/1/Jong.pdf Jong, Chian Haur (2015) Single-Input-Rule-Modules connected fuzzy inference system and its applications to failure mode and effect analysis. Masters thesis, Universiti Malaysia Sarawak.
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 TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Jong, Chian Haur
Single-Input-Rule-Modules connected fuzzy inference system and its applications to failure mode and effect analysis
description Two major shortcomings of the traditional fuzzy inference systems (FISs) e.g., Mamdani FIS and T -S FIS models, are (i) its difficulty to form a complete fuzzy rule base when the number of required rules is large, and (ii) the fulfillment of monotonicity property. The aims of this thesis are to analyze the use of a relatively new FIS, i.e., Single-Input-Rule-Modules (SIRMs) connected FIS, and a simplified theorem, as a solution for aforementioned shortcomings. Besides, a monotonicity test procedure is used to evaluate the fulfillment of monotonicity property, empiricall,J In this thesis, lhe applicability of lhe SIRMs connected FIS, its simplified theorem, and a monotonicity test procedure; to real world problems (i.e., Failure Mode and Effect Analysis (FMEA) and a water level control problems) are demonstrated. A new FMEA procedure with the SIRMs connected FIS and the simplified theorem is proposed. The simplified theorem is adopted as the governing equations to allow the SIRMs connected FIS model in FMEA to be constructed. Besides, the usefulness of the proposed FMEA procedure in agriculture i.e., edible bird nest (EBN) processing and semiconductor industry are demonstrated. The contributions of this thesis are three folds, (i) simplification of a theorem and monotonicity test for real world applications, (ii) a new FMEA procedure with the SIRMs connected FIS and (iii) case studies on BBN processing and semiconductor industry.
format Thesis
author Jong, Chian Haur
author_facet Jong, Chian Haur
author_sort Jong, Chian Haur
title Single-Input-Rule-Modules connected fuzzy inference system and its applications to failure mode and effect analysis
title_short Single-Input-Rule-Modules connected fuzzy inference system and its applications to failure mode and effect analysis
title_full Single-Input-Rule-Modules connected fuzzy inference system and its applications to failure mode and effect analysis
title_fullStr Single-Input-Rule-Modules connected fuzzy inference system and its applications to failure mode and effect analysis
title_full_unstemmed Single-Input-Rule-Modules connected fuzzy inference system and its applications to failure mode and effect analysis
title_sort single-input-rule-modules connected fuzzy inference system and its applications to failure mode and effect analysis
publisher Universiti Malaysia Sarawak, (UNIMAS)
publishDate 2015
url http://ir.unimas.my/id/eprint/12068/1/Jong.pdf
http://ir.unimas.my/id/eprint/12068/
_version_ 1767209791239749632
score 13.211869

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