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 a...

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Main Author:	Jong, Chian Haur
Format:	Thesis
Language:	English English
Published:	Universiti Malaysia Sarawak, (UNIMAS) 2015
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://ir.unimas.my/12068/ http://ir.unimas.my/12068/1/Single-Input-Rule-Modules%20Connected%20Fuzzy%20InferencSystem%20and%20Its%20Applications%20To%20Failure%20Mode%20and%20Effect%20Analysis%20%2824pgs%29.pdf http://ir.unimas.my/12068/2/Single-Input-Rule-Modules%20Connected%20Fuzzy%20InferencSystem%20and%20Its%20Applications%20To%20Failure%20Mode%20and%20Effect%20Analysis%20%28fulltext%29.pdf

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recordtype	eprints
spelling	unimas-120682016-05-17T06:38:47Z http://ir.unimas.my/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/12068/1/Single-Input-Rule-Modules%20Connected%20Fuzzy%20InferencSystem%20and%20Its%20Applications%20To%20Failure%20Mode%20and%20Effect%20Analysis%20%2824pgs%29.pdf text en http://ir.unimas.my/12068/2/Single-Input-Rule-Modules%20Connected%20Fuzzy%20InferencSystem%20and%20Its%20Applications%20To%20Failure%20Mode%20and%20Effect%20Analysis%20%28fulltext%29.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, (UNIMAS).
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Sarawak
building	UNIMAS Institutional Repository
collection	Online Access
language	English 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/12068/ http://ir.unimas.my/12068/1/Single-Input-Rule-Modules%20Connected%20Fuzzy%20InferencSystem%20and%20Its%20Applications%20To%20Failure%20Mode%20and%20Effect%20Analysis%20%2824pgs%29.pdf http://ir.unimas.my/12068/2/Single-Input-Rule-Modules%20Connected%20Fuzzy%20InferencSystem%20and%20Its%20Applications%20To%20Failure%20Mode%20and%20Effect%20Analysis%20%28fulltext%29.pdf
first_indexed	2018-09-06T15:57:45Z
last_indexed	2018-09-06T15:57:45Z
_version_	1610874319176466432

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

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