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: | , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
2018
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| Subjects: | |
| 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 http://eprints.unisza.edu.my/1725/ |
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| Institution: | Universiti Sultan Zainal Abidin |
| Language: | English English |
| Summary: | 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. |
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