Supplier selection for contractors using Fuzzy TOPSIS Algorithm / Mohamed Shafiq Mohamed Yusof

In modern society, the demand for quality product and reasonable price is rising as our country economy is worsen day by day. Home construction increases exponentially as the human population rising rapidly. The construction industry in Malaysia is among the major economic sectors that contribute si...

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Main Author:	Mohamed Yusof, Mohamed Shafiq
Format:	Thesis
Language:	English
Published:	2020
Subjects:	Fuzzy arithmetic Decision theory Fuzzy decision making Analytical methods used in the solution of physical problems Fuzzy logic
Online Access:	https://ir.uitm.edu.my/id/eprint/55127/1/55127.pdf
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id	my-uitm-ir.55127
record_format	uketd_dc
spelling	my-uitm-ir.551272022-01-23T08:02:44Z Supplier selection for contractors using Fuzzy TOPSIS Algorithm / Mohamed Shafiq Mohamed Yusof 2020-03 Mohamed Yusof, Mohamed Shafiq Fuzzy arithmetic Mathematical statistics. Probabilities Decision theory Fuzzy decision making Analytical methods used in the solution of physical problems Fuzzy logic In modern society, the demand for quality product and reasonable price is rising as our country economy is worsen day by day. Home construction increases exponentially as the human population rising rapidly. The construction industry in Malaysia is among the major economic sectors that contribute significantly towards the economic growth of the country (Khan, Liew, & Ghazali, 2014). However, the major constraint or problem in this respect has always been in defining the criteria for quality housing and choosing the right supplier. To solve this problem, a system has been proposed for supplier selection and focusing on selecting the right supplier. The main objective of this study is to develop a system which is supplier selection by using Fuzzy Technique of Order Preference Similarity to the Ideal Solution (Fuzzy TOPSIS). This system gives an output of the closeness coefficient of the supplier where the supplier with closeness coefficient that are closest to value ‘1' are the best supplier. The evaluation process of the system is done by functionality test by several experts and contractors. Fuzzy TOPSIS has been proven to be one of the best methods in decision making and ranking as it has been widely used in many fields (Kacprzak, 2018). The future work of this project is to develop a system by using the same domain but with different algorithm and compare the result with the current result obtained from the system 2020-03 Thesis https://ir.uitm.edu.my/id/eprint/55127/ https://ir.uitm.edu.my/id/eprint/55127/1/55127.pdf text en public degree Universiti Teknologi MARA, Terengganu Faculty of Computer and Mathematical Sciences Abdul Latif, Mohd Hanapi
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Abdul Latif, Mohd Hanapi
topic	Fuzzy arithmetic Fuzzy arithmetic Decision theory Fuzzy decision making Analytical methods used in the solution of physical problems Fuzzy logic
spellingShingle	Fuzzy arithmetic Fuzzy arithmetic Decision theory Fuzzy decision making Analytical methods used in the solution of physical problems Fuzzy logic Mohamed Yusof, Mohamed Shafiq Supplier selection for contractors using Fuzzy TOPSIS Algorithm / Mohamed Shafiq Mohamed Yusof
description	In modern society, the demand for quality product and reasonable price is rising as our country economy is worsen day by day. Home construction increases exponentially as the human population rising rapidly. The construction industry in Malaysia is among the major economic sectors that contribute significantly towards the economic growth of the country (Khan, Liew, & Ghazali, 2014). However, the major constraint or problem in this respect has always been in defining the criteria for quality housing and choosing the right supplier. To solve this problem, a system has been proposed for supplier selection and focusing on selecting the right supplier. The main objective of this study is to develop a system which is supplier selection by using Fuzzy Technique of Order Preference Similarity to the Ideal Solution (Fuzzy TOPSIS). This system gives an output of the closeness coefficient of the supplier where the supplier with closeness coefficient that are closest to value ‘1' are the best supplier. The evaluation process of the system is done by functionality test by several experts and contractors. Fuzzy TOPSIS has been proven to be one of the best methods in decision making and ranking as it has been widely used in many fields (Kacprzak, 2018). The future work of this project is to develop a system by using the same domain but with different algorithm and compare the result with the current result obtained from the system
format	Thesis
qualification_level	Bachelor degree
author	Mohamed Yusof, Mohamed Shafiq
author_facet	Mohamed Yusof, Mohamed Shafiq
author_sort	Mohamed Yusof, Mohamed Shafiq
title	Supplier selection for contractors using Fuzzy TOPSIS Algorithm / Mohamed Shafiq Mohamed Yusof
title_short	Supplier selection for contractors using Fuzzy TOPSIS Algorithm / Mohamed Shafiq Mohamed Yusof
title_full	Supplier selection for contractors using Fuzzy TOPSIS Algorithm / Mohamed Shafiq Mohamed Yusof
title_fullStr	Supplier selection for contractors using Fuzzy TOPSIS Algorithm / Mohamed Shafiq Mohamed Yusof
title_full_unstemmed	Supplier selection for contractors using Fuzzy TOPSIS Algorithm / Mohamed Shafiq Mohamed Yusof
title_sort	supplier selection for contractors using fuzzy topsis algorithm / mohamed shafiq mohamed yusof
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2020
url	https://ir.uitm.edu.my/id/eprint/55127/1/55127.pdf
_version_	1783734904065884160

Supplier selection for contractors using Fuzzy TOPSIS Algorithm / Mohamed Shafiq Mohamed Yusof

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