Cover Image

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...

Full description

Saved in:
Bibliographic Details
Main Author: Md Amin, Amal Nabilah
Format: Thesis
Language:English
Published: Faculty of Computer and Mathematical Sciences 2007
Subjects:
Electronic Computers. Computer Science
Online Access:http://ir.uitm.edu.my/id/eprint/1368/1/TB_AMAL%20NABILAH%20MD%20AMIN%20CS%2007_5%20P01.pdf
http://ir.uitm.edu.my/id/eprint/1368/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uitm.ir.1368
record_format eprints
spelling my.uitm.ir.13682019-03-22T06:53:32Z http://ir.uitm.edu.my/id/eprint/1368/ Intelligent garment system using fuzzy expert system / Amal Nabilah Md Amin Md Amin, Amal Nabilah Electronic Computers. Computer Science 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 fiizzy inference applied to the system is Mamdani with hedges. The &tst step applied is by defining the range of body measurement for each clothes size which was determined by the relevant expertise (tailor). Then fiizzy rules and fiizzy sets are determiaed. 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 tiien 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. Faculty of Computer and Mathematical Sciences 2007 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/1368/1/TB_AMAL%20NABILAH%20MD%20AMIN%20CS%2007_5%20P01.pdf Md Amin, Amal Nabilah (2007) Intelligent garment system using fuzzy expert system / Amal Nabilah Md Amin. Degree thesis, Universiti Teknologi MARA.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Electronic Computers. Computer Science
spellingShingle Electronic Computers. Computer Science
Md Amin, Amal Nabilah
Intelligent garment system using fuzzy expert system / Amal Nabilah Md Amin
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 fiizzy inference applied to the system is Mamdani with hedges. The &tst step applied is by defining the range of body measurement for each clothes size which was determined by the relevant expertise (tailor). Then fiizzy rules and fiizzy sets are determiaed. 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 tiien 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
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
publisher Faculty of Computer and Mathematical Sciences
publishDate 2007
url http://ir.uitm.edu.my/id/eprint/1368/1/TB_AMAL%20NABILAH%20MD%20AMIN%20CS%2007_5%20P01.pdf
http://ir.uitm.edu.my/id/eprint/1368/
_version_ 1685648138066460672
score 13.211869

Similar Items