Intelligent Automated Small and Medium Enterprise (SME) Loan Application Processing System Using Neuro-CBR Approach

Developing a group of diverse and competitive small and medium enterprises (SMEs) is a central theme towards achieving sustainable economic growth. SMEs are crucial to the economic growth process and play an important role in the country's overall production network. The focus of this study is...

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Main Author:	Mohd Hanif, Yusoff
Format:	Thesis
Language:	eng eng
Published:	2011
Subjects:	QA76 Computer software
Online Access:	https://etd.uum.edu.my/2736/1/Mohd_Hanif_Yusoff.pdf https://etd.uum.edu.my/2736/2/1.Mohd_Hanif_Yusoff.pdf
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id	my-uum-etd.2736
record_format	uketd_dc
spelling	my-uum-etd.27362016-04-27T06:51:35Z Intelligent Automated Small and Medium Enterprise (SME) Loan Application Processing System Using Neuro-CBR Approach 2011 Mohd Hanif, Yusoff Siraj, Fadzilah College of Arts and Sciences (CAS) College of Arts and Sciences QA76 Computer software Developing a group of diverse and competitive small and medium enterprises (SMEs) is a central theme towards achieving sustainable economic growth. SMEs are crucial to the economic growth process and play an important role in the country's overall production network. The focus of this study is to develop an automated decision support model for SMEs sector that can be used by the management to accelerate the loan application processing. This study proposed an intelligent automated SME loan application processing system (i-SMEs) that is a web based application system for processing and monitoring SME applications using Hybrid Intelligent technique which integrate Neural Network and Case-based Reasoning namely NeuroCBR. i-SMEs is used to assist SME bank management in order to improve decision making time processing as well as operational cost. i-SMEs be able to classify SME market segment into three distinctive groups that are MICRO, MEDIUM and SMALL and also can make a pre-approval loan processing faster. It is possible to transform the patterns generated from i-SME into actionable plans that are likely to help the SME Bank . 2011 Thesis https://etd.uum.edu.my/2736/ https://etd.uum.edu.my/2736/1/Mohd_Hanif_Yusoff.pdf application/pdf eng validuser https://etd.uum.edu.my/2736/2/1.Mohd_Hanif_Yusoff.pdf application/pdf eng public masters masters Universiti Utara Malaysia
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
advisor	Siraj, Fadzilah
topic	QA76 Computer software
spellingShingle	QA76 Computer software Mohd Hanif, Yusoff Intelligent Automated Small and Medium Enterprise (SME) Loan Application Processing System Using Neuro-CBR Approach
description	Developing a group of diverse and competitive small and medium enterprises (SMEs) is a central theme towards achieving sustainable economic growth. SMEs are crucial to the economic growth process and play an important role in the country's overall production network. The focus of this study is to develop an automated decision support model for SMEs sector that can be used by the management to accelerate the loan application processing. This study proposed an intelligent automated SME loan application processing system (i-SMEs) that is a web based application system for processing and monitoring SME applications using Hybrid Intelligent technique which integrate Neural Network and Case-based Reasoning namely NeuroCBR. i-SMEs is used to assist SME bank management in order to improve decision making time processing as well as operational cost. i-SMEs be able to classify SME market segment into three distinctive groups that are MICRO, MEDIUM and SMALL and also can make a pre-approval loan processing faster. It is possible to transform the patterns generated from i-SME into actionable plans that are likely to help the SME Bank .
format	Thesis
qualification_name	masters
qualification_level	Master's degree
author	Mohd Hanif, Yusoff
author_facet	Mohd Hanif, Yusoff
author_sort	Mohd Hanif, Yusoff
title	Intelligent Automated Small and Medium Enterprise (SME) Loan Application Processing System Using Neuro-CBR Approach
title_short	Intelligent Automated Small and Medium Enterprise (SME) Loan Application Processing System Using Neuro-CBR Approach
title_full	Intelligent Automated Small and Medium Enterprise (SME) Loan Application Processing System Using Neuro-CBR Approach
title_fullStr	Intelligent Automated Small and Medium Enterprise (SME) Loan Application Processing System Using Neuro-CBR Approach
title_full_unstemmed	Intelligent Automated Small and Medium Enterprise (SME) Loan Application Processing System Using Neuro-CBR Approach
title_sort	intelligent automated small and medium enterprise (sme) loan application processing system using neuro-cbr approach
granting_institution	Universiti Utara Malaysia
granting_department	College of Arts and Sciences (CAS)
publishDate	2011
url	https://etd.uum.edu.my/2736/1/Mohd_Hanif_Yusoff.pdf https://etd.uum.edu.my/2736/2/1.Mohd_Hanif_Yusoff.pdf
_version_	1747827416872517632

Intelligent Automated Small and Medium Enterprise (SME) Loan Application Processing System Using Neuro-CBR Approach

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