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:
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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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/
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score 13.160551