Intelligent garment system using fuzzy expert system / Amal Nabilah Md Amin

Body measurement is the most important thing that need to be considered in order to find the best fit size clothes. Traditionally, manual taking measurement by tailor has been applied. However, this conventional method requires more time and energy. This method also involved highly cost which may gi...

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Bibliographic Details
Main Author:	Md Amin, Amal Nabilah
Format:	Thesis
Language:	English
Published:	2007
Online Access:	http://ir.uitm.edu.my/id/eprint/18254/ http://ir.uitm.edu.my/id/eprint/18254/2/TD_AMAL%20NABILAH%20MD%20AMIN%20CS%2007_5.pdf

id	uitm-18254
recordtype	eprints
spelling	uitm-182542019-02-28T08:13:59Z http://ir.uitm.edu.my/id/eprint/18254/ Intelligent garment system using fuzzy expert system / Amal Nabilah Md Amin Md Amin, Amal Nabilah Body measurement is the most important thing that need to be considered in order to find the best fit size clothes. Traditionally, manual taking measurement by tailor has been applied. However, this conventional method requires more time and energy. This method also involved highly cost which may give a huge impact to the garment company. Therefore, a new system should be developed to measure human body based on the data (image) given by the customers. It will help to search and decide the best fit cloth(es) as a result. This research use one of the artificial intelligence techniques, Fuzzy Expert System. The type of fuzzy inference applied to the system is Mamdani with hedges. The first step applied is by defining the range of body measurement for each clothes size which was determined by the relevant expertise (tailor). Then fuzzy rules and fuzzy sets are determined. Next, coordinate point used for the image before the system gathers the measurement of the body. After that, the measurement will become an input to the knowledge base. The system will then be able to determine the match clothes size. This project was restricted to the Quppy’s Garment Sdn Bhd for the shoulder, chest, waist and hip range measurement. This project is significant to the garment industry whereby, in defining clothes sizes using intelligent systems may make process faster and decrease the cost. The system have been tested base on 30 images and 95% of the output generate are consistent. 2007 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/18254/2/TD_AMAL%20NABILAH%20MD%20AMIN%20CS%2007_5.pdf Md Amin, Amal Nabilah (2007) Intelligent garment system using fuzzy expert system / Amal Nabilah Md Amin. Degree thesis, Universiti Teknologi MARA.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
description	Body measurement is the most important thing that need to be considered in order to find the best fit size clothes. Traditionally, manual taking measurement by tailor has been applied. However, this conventional method requires more time and energy. This method also involved highly cost which may give a huge impact to the garment company. Therefore, a new system should be developed to measure human body based on the data (image) given by the customers. It will help to search and decide the best fit cloth(es) as a result. This research use one of the artificial intelligence techniques, Fuzzy Expert System. The type of fuzzy inference applied to the system is Mamdani with hedges. The first step applied is by defining the range of body measurement for each clothes size which was determined by the relevant expertise (tailor). Then fuzzy rules and fuzzy sets are determined. Next, coordinate point used for the image before the system gathers the measurement of the body. After that, the measurement will become an input to the knowledge base. The system will then be able to determine the match clothes size. This project was restricted to the Quppy’s Garment Sdn Bhd for the shoulder, chest, waist and hip range measurement. This project is significant to the garment industry whereby, in defining clothes sizes using intelligent systems may make process faster and decrease the cost. The system have been tested base on 30 images and 95% of the output generate are consistent.
format	Thesis
author	Md Amin, Amal Nabilah
spellingShingle	Md Amin, Amal Nabilah Intelligent garment system using fuzzy expert system / Amal Nabilah Md Amin
author_facet	Md Amin, Amal Nabilah
author_sort	Md Amin, Amal Nabilah
title	Intelligent garment system using fuzzy expert system / Amal Nabilah Md Amin
title_short	Intelligent garment system using fuzzy expert system / Amal Nabilah Md Amin
title_full	Intelligent garment system using fuzzy expert system / Amal Nabilah Md Amin
title_fullStr	Intelligent garment system using fuzzy expert system / Amal Nabilah Md Amin
title_full_unstemmed	Intelligent garment system using fuzzy expert system / Amal Nabilah Md Amin
title_sort	intelligent garment system using fuzzy expert system / amal nabilah md amin
publishDate	2007
url	http://ir.uitm.edu.my/id/eprint/18254/ http://ir.uitm.edu.my/id/eprint/18254/2/TD_AMAL%20NABILAH%20MD%20AMIN%20CS%2007_5.pdf
first_indexed	2023-09-18T23:00:06Z
last_indexed	2023-09-18T23:00:06Z
_version_	1777418115980722176

Intelligent garment system using fuzzy expert system / Amal Nabilah Md Amin

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