Universiti Teknologi MARA application system using modified neuro-fuzzy approach / Nor Eleena Yusoff

Many school leavers have difficulties in deciding appropriate university programs based on their Sijil Pelajaran Malaysia (SPM) results. One of the factors which leads them to choose inappropriate programs is due to not having an appropriate medium assistance. Presently, Ministry of Higher Education...

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Main Author:	Yusoff, Nor Eleena
Format:	Thesis
Language:	English
Published:	2014
Subjects:	Fuzzy arithmetic Fuzzy logic
Online Access:	http://ir.uitm.edu.my/id/eprint/25631/ http://ir.uitm.edu.my/id/eprint/25631/1/TM_NOR%20ELEENA%20YUSOFF%20CS%2014_5.pdf

id	uitm-25631
recordtype	eprints
spelling	uitm-256312019-09-20T03:45:13Z http://ir.uitm.edu.my/id/eprint/25631/ Universiti Teknologi MARA application system using modified neuro-fuzzy approach / Nor Eleena Yusoff Yusoff, Nor Eleena Fuzzy arithmetic Fuzzy logic Many school leavers have difficulties in deciding appropriate university programs based on their Sijil Pelajaran Malaysia (SPM) results. One of the factors which leads them to choose inappropriate programs is due to not having an appropriate medium assistance. Presently, Ministry of Higher Education uses IMASCU® which was the upgraded version of E-Semak Kelayakan UiTM to help students check their eligibility for programs offered by universities. However, students usually have problems in selecting and ranking the programs they prefer, as sometimes there are so many programs offered and they are qualified to apply to all of them. Hence, a systematic mechanism is needed to cater to these problems and it is the main aim of this study. The first objective that needs to be accomplished in this research is to evaluate the performances of Back Propagation Neural Network (BPNN), Adaptive Neuro-Fuzzy Inference System (ANFIS), and Modified Adaptive Neuro-Fuzzy Inference System (MANFIS) in terms of efficiency and accuracy. It is found that MANFIS outperforms ANFIS and BPNN in terms of accuracy. The second objective that needs to be achieved is to use MANFIS in the development of a system for selecting suitable university programs for SPM leavers. In the system’s development, fuzzy numbers are constructed based on the trend of intakes of each considered program as this is used as part of the engine of the system. The engine is then employed in the university program selection system. The system is considered as the enhanced version of IMASCU® and E-Semak Kelayakan UiTM systems which provide better system where now it can rank the qualified programs in accordance to the trend of the previous intakes. 2014 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/25631/1/TM_NOR%20ELEENA%20YUSOFF%20CS%2014_5.pdf Yusoff, Nor Eleena (2014) Universiti Teknologi MARA application system using modified neuro-fuzzy approach / Nor Eleena Yusoff. Masters thesis, Universiti Teknologi MARA, Shah Alam.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Fuzzy arithmetic Fuzzy logic
spellingShingle	Fuzzy arithmetic Fuzzy logic Yusoff, Nor Eleena Universiti Teknologi MARA application system using modified neuro-fuzzy approach / Nor Eleena Yusoff
description	Many school leavers have difficulties in deciding appropriate university programs based on their Sijil Pelajaran Malaysia (SPM) results. One of the factors which leads them to choose inappropriate programs is due to not having an appropriate medium assistance. Presently, Ministry of Higher Education uses IMASCU® which was the upgraded version of E-Semak Kelayakan UiTM to help students check their eligibility for programs offered by universities. However, students usually have problems in selecting and ranking the programs they prefer, as sometimes there are so many programs offered and they are qualified to apply to all of them. Hence, a systematic mechanism is needed to cater to these problems and it is the main aim of this study. The first objective that needs to be accomplished in this research is to evaluate the performances of Back Propagation Neural Network (BPNN), Adaptive Neuro-Fuzzy Inference System (ANFIS), and Modified Adaptive Neuro-Fuzzy Inference System (MANFIS) in terms of efficiency and accuracy. It is found that MANFIS outperforms ANFIS and BPNN in terms of accuracy. The second objective that needs to be achieved is to use MANFIS in the development of a system for selecting suitable university programs for SPM leavers. In the system’s development, fuzzy numbers are constructed based on the trend of intakes of each considered program as this is used as part of the engine of the system. The engine is then employed in the university program selection system. The system is considered as the enhanced version of IMASCU® and E-Semak Kelayakan UiTM systems which provide better system where now it can rank the qualified programs in accordance to the trend of the previous intakes.
format	Thesis
author	Yusoff, Nor Eleena
author_facet	Yusoff, Nor Eleena
author_sort	Yusoff, Nor Eleena
title	Universiti Teknologi MARA application system using modified neuro-fuzzy approach / Nor Eleena Yusoff
title_short	Universiti Teknologi MARA application system using modified neuro-fuzzy approach / Nor Eleena Yusoff
title_full	Universiti Teknologi MARA application system using modified neuro-fuzzy approach / Nor Eleena Yusoff
title_fullStr	Universiti Teknologi MARA application system using modified neuro-fuzzy approach / Nor Eleena Yusoff
title_full_unstemmed	Universiti Teknologi MARA application system using modified neuro-fuzzy approach / Nor Eleena Yusoff
title_sort	universiti teknologi mara application system using modified neuro-fuzzy approach / nor eleena yusoff
publishDate	2014
url	http://ir.uitm.edu.my/id/eprint/25631/ http://ir.uitm.edu.my/id/eprint/25631/1/TM_NOR%20ELEENA%20YUSOFF%20CS%2014_5.pdf
first_indexed	2023-09-18T23:15:08Z
last_indexed	2023-09-18T23:15:08Z
_version_	1777419061511061504

Universiti Teknologi MARA application system using modified neuro-fuzzy approach / Nor Eleena Yusoff

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