Rule-based reasoning and case-based reasoning techniques for juvenile delinquency recommendation expert system / Hidayah Daniyal

This study aims to research the rule-based reasoning (RBR) and case-based reasoning (CBR) techniques in recommending the most suitable court orders for juvenile delinquency cases. Recommending court orders for juvenile delinquencies cases is a complex procedure because probation officers need to mak...

Full description

Saved in:

Bibliographic Details
Main Author:	Daniyal, Hidayah
Format:	Thesis
Language:	English
Published:	2014
Subjects:	Electronic Computers Computer Science Interactive computer systems
Online Access:	https://ir.uitm.edu.my/id/eprint/26740/1/TM_HIDAYAH%20DANIYAL%20CS%2014_5.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-uitm-ir.26740
record_format	uketd_dc
spelling	my-uitm-ir.267402019-12-04T02:42:39Z Rule-based reasoning and case-based reasoning techniques for juvenile delinquency recommendation expert system / Hidayah Daniyal 2014 Daniyal, Hidayah Electronic Computers. Computer Science Interactive computer systems This study aims to research the rule-based reasoning (RBR) and case-based reasoning (CBR) techniques in recommending the most suitable court orders for juvenile delinquency cases. Recommending court orders for juvenile delinquencies cases is a complex procedure because probation officers need to make decision based on their experiences and manual data which are legal statutes and similar court cases before they are able to recommend the most suitable court orders. Without a reliable technique to access these data quickly and efficiently, probation officers often need more time to complete their works. This leads to backlog in juvenile cases trials. Therefore, the ability to extract the correct precedent cases and court orders correctly is critical in order to expedite the trials process. Therefore to solve the problem, the objectives for this research is formularised as identify and design a legal reasoning model using appropriate techniques, develop Juvenile Delinquency Recommendation System (JDRES) prototype and evaluate the legal reasoning model. To achieve the objectives, several activities were undertaken. The RBR technique is used to extract the court order rules, while CBR technique is used to retrieve precedent cases. Decision tree is a technique used in RBR to facilitate inferences of cases to court orders. Hamming and Manhattan techniques are used in CBR approach to measure the distance in similarity metric while ANN classification is used to classify previous cases accordingly. A legal reasoning model is designed by integrating both RBR and CBR techniques which allows court orders rules and precedent cases to be extracted and referenced. To verify and validate the model, a simulation model, Juvenile Delinquencies Recommendation Expert System (JDRES) was constructed and tested against the real procedure. The results showed that both the rules and similar previous cases extracted by the simulation model are 80% similar to the expert’s selection. The similarities between the results from the model and the expert’s selection indicate that both the RBR and CBR are appropriate techniques for constructing the legal reasoning model. There are two main contributions of this research. The first contribution is the legal reasoning model which uses RBR and CBR techniques to automate the legal reasoning procedure. The second contribution is the JDRES prototype that creates an opportunity for Malaysia juvenile legal system to automatically recommend the most suitable court orders and retrieve the most similar precedent cases. 2014 Thesis https://ir.uitm.edu.my/id/eprint/26740/ https://ir.uitm.edu.my/id/eprint/26740/1/TM_HIDAYAH%20DANIYAL%20CS%2014_5.pdf text en public masters Universiti Teknologi MARA Faculty of Computer and Mathematical Sciences
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Electronic Computers Computer Science Interactive computer systems
spellingShingle	Electronic Computers Computer Science Interactive computer systems Daniyal, Hidayah Rule-based reasoning and case-based reasoning techniques for juvenile delinquency recommendation expert system / Hidayah Daniyal
description	This study aims to research the rule-based reasoning (RBR) and case-based reasoning (CBR) techniques in recommending the most suitable court orders for juvenile delinquency cases. Recommending court orders for juvenile delinquencies cases is a complex procedure because probation officers need to make decision based on their experiences and manual data which are legal statutes and similar court cases before they are able to recommend the most suitable court orders. Without a reliable technique to access these data quickly and efficiently, probation officers often need more time to complete their works. This leads to backlog in juvenile cases trials. Therefore, the ability to extract the correct precedent cases and court orders correctly is critical in order to expedite the trials process. Therefore to solve the problem, the objectives for this research is formularised as identify and design a legal reasoning model using appropriate techniques, develop Juvenile Delinquency Recommendation System (JDRES) prototype and evaluate the legal reasoning model. To achieve the objectives, several activities were undertaken. The RBR technique is used to extract the court order rules, while CBR technique is used to retrieve precedent cases. Decision tree is a technique used in RBR to facilitate inferences of cases to court orders. Hamming and Manhattan techniques are used in CBR approach to measure the distance in similarity metric while ANN classification is used to classify previous cases accordingly. A legal reasoning model is designed by integrating both RBR and CBR techniques which allows court orders rules and precedent cases to be extracted and referenced. To verify and validate the model, a simulation model, Juvenile Delinquencies Recommendation Expert System (JDRES) was constructed and tested against the real procedure. The results showed that both the rules and similar previous cases extracted by the simulation model are 80% similar to the expert’s selection. The similarities between the results from the model and the expert’s selection indicate that both the RBR and CBR are appropriate techniques for constructing the legal reasoning model. There are two main contributions of this research. The first contribution is the legal reasoning model which uses RBR and CBR techniques to automate the legal reasoning procedure. The second contribution is the JDRES prototype that creates an opportunity for Malaysia juvenile legal system to automatically recommend the most suitable court orders and retrieve the most similar precedent cases.
format	Thesis
qualification_level	Master's degree
author	Daniyal, Hidayah
author_facet	Daniyal, Hidayah
author_sort	Daniyal, Hidayah
title	Rule-based reasoning and case-based reasoning techniques for juvenile delinquency recommendation expert system / Hidayah Daniyal
title_short	Rule-based reasoning and case-based reasoning techniques for juvenile delinquency recommendation expert system / Hidayah Daniyal
title_full	Rule-based reasoning and case-based reasoning techniques for juvenile delinquency recommendation expert system / Hidayah Daniyal
title_fullStr	Rule-based reasoning and case-based reasoning techniques for juvenile delinquency recommendation expert system / Hidayah Daniyal
title_full_unstemmed	Rule-based reasoning and case-based reasoning techniques for juvenile delinquency recommendation expert system / Hidayah Daniyal
title_sort	rule-based reasoning and case-based reasoning techniques for juvenile delinquency recommendation expert system / hidayah daniyal
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2014
url	https://ir.uitm.edu.my/id/eprint/26740/1/TM_HIDAYAH%20DANIYAL%20CS%2014_5.pdf
_version_	1783733903280832512

Rule-based reasoning and case-based reasoning techniques for juvenile delinquency recommendation expert system / Hidayah Daniyal

Similar Items