Staff View: Respondent based fuzzy numbers in fuzzy decision making / Fairuz Shohaimay … [et al.]

Respondent based fuzzy numbers in fuzzy decision making / Fairuz Shohaimay … [et al.]

There are many studies on fuzzy decision making that incorporated fixed fuzzy numbers from the literature. However, these fuzzy numbers do not explain the actual respondents' opinions which will affect the overall decision making results. Therefore. fuzzy numbers based on respondents should be...

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Main Authors:	Shohaimay, Fairuz, Ramli, Nazirah, Mohamed, Siti Rosiah, Mohd, Ainun Hafizah
Format:	Conference or Workshop Item
Language:	English
Published:	2013
Subjects:	Matrix analytic methods Sequences (Mathematics) Fuzzy logic
Online Access:	https://ir.uitm.edu.my/id/eprint/39919/1/39919.PDF https://ir.uitm.edu.my/id/eprint/39919/
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id	my.uitm.ir.39919
record_format	eprints
spelling	my.uitm.ir.399192022-09-22T01:26:36Z https://ir.uitm.edu.my/id/eprint/39919/ Respondent based fuzzy numbers in fuzzy decision making / Fairuz Shohaimay … [et al.] Shohaimay, Fairuz Ramli, Nazirah Mohamed, Siti Rosiah Mohd, Ainun Hafizah Matrix analytic methods Sequences (Mathematics) Fuzzy logic There are many studies on fuzzy decision making that incorporated fixed fuzzy numbers from the literature. However, these fuzzy numbers do not explain the actual respondents' opinions which will affect the overall decision making results. Therefore. fuzzy numbers based on respondents should be developed beforehand to be integrated into the existing fuzzy decision making tool. This paper aims to develop triangular fuzzy numbers based on respondents' opinions. Then, these fuzzy numbers were adopted into fuzzy evaluation method used in a supplier selection problem. The ranking results were analysed using seven different sets of fuzzy numbers. It was found that there is a variation in the ranking result when using fuzzy numbers based on different group of respondents, particularly the ranking of supplier based on main criterion. Hence, future studies in fuzzy decision making should include fuzzy numbers built based on respondents as they provide more reliable outcomes. 2013 Conference or Workshop Item PeerReviewed text en https://ir.uitm.edu.my/id/eprint/39919/1/39919.PDF Respondent based fuzzy numbers in fuzzy decision making / Fairuz Shohaimay … [et al.]. (2013) In: Prosiding KONAKA Konferensi Akademik 2013, 28-29 Oktober 2013, Bukit Gambang Resort City, Gambang, Pahang, Malaysia.
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	Matrix analytic methods Sequences (Mathematics) Fuzzy logic
spellingShingle	Matrix analytic methods Sequences (Mathematics) Fuzzy logic Shohaimay, Fairuz Ramli, Nazirah Mohamed, Siti Rosiah Mohd, Ainun Hafizah Respondent based fuzzy numbers in fuzzy decision making / Fairuz Shohaimay … [et al.]
description	There are many studies on fuzzy decision making that incorporated fixed fuzzy numbers from the literature. However, these fuzzy numbers do not explain the actual respondents' opinions which will affect the overall decision making results. Therefore. fuzzy numbers based on respondents should be developed beforehand to be integrated into the existing fuzzy decision making tool. This paper aims to develop triangular fuzzy numbers based on respondents' opinions. Then, these fuzzy numbers were adopted into fuzzy evaluation method used in a supplier selection problem. The ranking results were analysed using seven different sets of fuzzy numbers. It was found that there is a variation in the ranking result when using fuzzy numbers based on different group of respondents, particularly the ranking of supplier based on main criterion. Hence, future studies in fuzzy decision making should include fuzzy numbers built based on respondents as they provide more reliable outcomes.
format	Conference or Workshop Item
author	Shohaimay, Fairuz Ramli, Nazirah Mohamed, Siti Rosiah Mohd, Ainun Hafizah
author_facet	Shohaimay, Fairuz Ramli, Nazirah Mohamed, Siti Rosiah Mohd, Ainun Hafizah
author_sort	Shohaimay, Fairuz
title	Respondent based fuzzy numbers in fuzzy decision making / Fairuz Shohaimay … [et al.]
title_short	Respondent based fuzzy numbers in fuzzy decision making / Fairuz Shohaimay … [et al.]
title_full	Respondent based fuzzy numbers in fuzzy decision making / Fairuz Shohaimay … [et al.]
title_fullStr	Respondent based fuzzy numbers in fuzzy decision making / Fairuz Shohaimay … [et al.]
title_full_unstemmed	Respondent based fuzzy numbers in fuzzy decision making / Fairuz Shohaimay … [et al.]
title_sort	respondent based fuzzy numbers in fuzzy decision making / fairuz shohaimay … [et al.]
publishDate	2013
url	https://ir.uitm.edu.my/id/eprint/39919/1/39919.PDF https://ir.uitm.edu.my/id/eprint/39919/
_version_	1744651596579471360
score	13.211869

Respondent based fuzzy numbers in fuzzy decision making / Fairuz Shohaimay … [et al.]

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