A new concept of fuzzy TOPSIS and fuzzy logic in a multi-criteria decision

In reality, humans usually uncertainty or vague in expressing their preference or votes based on crisp number or scale. Much of the information on which decision are based is uncertain, the methods can be used to support the system's decision is to use Fuzzy Multi-Criteria Decision Making (FM...

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Main Authors: Jumarni, R.F., Zamri, N.
Format: Conference or Workshop Item
Language:English
English
Published: 2018
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Online Access:http://eprints.unisza.edu.my/1725/1/FH03-FIK-18-13579.jpg
http://eprints.unisza.edu.my/1725/2/FH03-FIK-18-18363.pdf
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Institution: Universiti Sultan Zainal Abidin
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spelling my-unisza-ir.17252020-11-22T03:25:54Z http://eprints.unisza.edu.my/1725/ A new concept of fuzzy TOPSIS and fuzzy logic in a multi-criteria decision Jumarni, R.F. Zamri, N. QA Mathematics QA75 Electronic computers. Computer science In reality, humans usually uncertainty or vague in expressing their preference or votes based on crisp number or scale. Much of the information on which decision are based is uncertain, the methods can be used to support the system's decision is to use Fuzzy Multi-Criteria Decision Making (FMCDM). This method was chosen because it can selecting the best alternative from a number of alternatives Criteria. Fuzzy Multi-Criteria Decision Making (FMCDM) is a method of decision-making to determine the best alternative from a number of alternatives based on certain criteria. The criteria usually in the form of action, rules or standards used in decision making. The lack of capability to handle vagueness in the decision making, has been main weakness of Fuzzy TOPSIS. Thus, the purpose of this paper is to introduce Fuzzy TOPSIS and z-number to several criteria fuzzy group decision making (FMCDM). Fuzzy TOPSIS is used to determine the alternative most suitable in relation to different selection criteria and z-number to present experts reability, this method can choose the best alternative from a number of alternatives based on some specific criteria. A numerical example on FMCDM is used to describe the efficiency of the proposed method. 2018 Conference or Workshop Item NonPeerReviewed image en http://eprints.unisza.edu.my/1725/1/FH03-FIK-18-13579.jpg text en http://eprints.unisza.edu.my/1725/2/FH03-FIK-18-18363.pdf Jumarni, R.F. and Zamri, N. (2018) A new concept of fuzzy TOPSIS and fuzzy logic in a multi-criteria decision. In: 3rd International Conference on Soft Computing and Data Mining, 06-08 Feb 2018, Johor, Malaysia.
institution Universiti Sultan Zainal Abidin
building UNISZA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sultan Zainal Abidin
content_source UNISZA Institutional Repository
url_provider https://eprints.unisza.edu.my/
language English
English
topic QA Mathematics
QA75 Electronic computers. Computer science
spellingShingle QA Mathematics
QA75 Electronic computers. Computer science
Jumarni, R.F.
Zamri, N.
A new concept of fuzzy TOPSIS and fuzzy logic in a multi-criteria decision
description In reality, humans usually uncertainty or vague in expressing their preference or votes based on crisp number or scale. Much of the information on which decision are based is uncertain, the methods can be used to support the system's decision is to use Fuzzy Multi-Criteria Decision Making (FMCDM). This method was chosen because it can selecting the best alternative from a number of alternatives Criteria. Fuzzy Multi-Criteria Decision Making (FMCDM) is a method of decision-making to determine the best alternative from a number of alternatives based on certain criteria. The criteria usually in the form of action, rules or standards used in decision making. The lack of capability to handle vagueness in the decision making, has been main weakness of Fuzzy TOPSIS. Thus, the purpose of this paper is to introduce Fuzzy TOPSIS and z-number to several criteria fuzzy group decision making (FMCDM). Fuzzy TOPSIS is used to determine the alternative most suitable in relation to different selection criteria and z-number to present experts reability, this method can choose the best alternative from a number of alternatives based on some specific criteria. A numerical example on FMCDM is used to describe the efficiency of the proposed method.
format Conference or Workshop Item
author Jumarni, R.F.
Zamri, N.
author_facet Jumarni, R.F.
Zamri, N.
author_sort Jumarni, R.F.
title A new concept of fuzzy TOPSIS and fuzzy logic in a multi-criteria decision
title_short A new concept of fuzzy TOPSIS and fuzzy logic in a multi-criteria decision
title_full A new concept of fuzzy TOPSIS and fuzzy logic in a multi-criteria decision
title_fullStr A new concept of fuzzy TOPSIS and fuzzy logic in a multi-criteria decision
title_full_unstemmed A new concept of fuzzy TOPSIS and fuzzy logic in a multi-criteria decision
title_sort new concept of fuzzy topsis and fuzzy logic in a multi-criteria decision
publishDate 2018
url http://eprints.unisza.edu.my/1725/1/FH03-FIK-18-13579.jpg
http://eprints.unisza.edu.my/1725/2/FH03-FIK-18-18363.pdf
http://eprints.unisza.edu.my/1725/
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