EXPANDING DATA NORMALIZATION METHOD TO CODAS METHOD FOR MULTI-CRITERIA DECISION MAKING
Data normalization is the conversion of quantities of different dimensions to the same dimensionless form, which is required in multicriteria decision making (MCDM). The choice of data normalization method has a direct influence on the decision-making results. This study presents the combination...
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| Format: | Article |
| Language: | English |
| Published: |
The Serbian Academic Center
2022-06-01
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| Series: | Applied Engineering Letters |
| Subjects: | |
| Online Access: | https://aeletters.com/wp-content/uploads/2022/07/AEL00357.pdf |
| Summary: | Data normalization is the conversion of quantities of different
dimensions to the same dimensionless form, which is required in multicriteria decision making (MCDM). The choice of data normalization
method has a direct influence on the decision-making results. This study
presents the combination of CODAS (COmbinative Distance-based
ASsessment) method with six different data normalization methods
including Linear normalization, Max - Min linear normalization, Vector
normalization, Sum linear normalization, Logarithmic normalization, Max
linear normalization . These six combinations have been applied in turn
in three different examples. The number of alternatives, the number of
criteria, and the method of the weight calculation in these examples are
also different. From the results it was reported that only the combination
of CODAS and Logarithmic normalization was not suitable. The
combination of CODAS with some other data normalization methods not
mentioned in this study and it needs to be done in the near future. This
task was covered in the last part of this paper. |
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| ISSN: | 2466-4677 2466-4847 |