CAT PAW: Combinatorial Algorithm to Test all Possible Assortments of Weights
Group-based multi-criteria decision-making (MCDM) is a challenging and time-consuming process often rich with subjectivity. This paper outlines an algorithm created in Python to evaluate every possible criterion weighting combination to assist in making an objective decision. Implications of this st...
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| Published in | Software impacts Vol. 11; p. 100214 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
01.02.2022
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| Subjects | |
| Online Access | Get full text |
| ISSN | 2665-9638 2665-9638 |
| DOI | 10.1016/j.simpa.2021.100214 |
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| Summary: | Group-based multi-criteria decision-making (MCDM) is a challenging and time-consuming process often rich with subjectivity. This paper outlines an algorithm created in Python to evaluate every possible criterion weighting combination to assist in making an objective decision. Implications of this study include increased efficiency and reduced subjectivity in group-based MCDM.
•A Python algorithm was created to evaluate every possible criterion weighting combination.•The algorithm displays the percent of times an alternative ranks in the top 5 options.•The algorithm allows moving towards objective decisions in MCDM problems. |
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| ISSN: | 2665-9638 2665-9638 |
| DOI: | 10.1016/j.simpa.2021.100214 |