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| Min-Max Normalization× | Måling af Alternativer og Rangordning efter Kompromisløsning× | |
|---|---|---|
| Fagområde | Beslutningstagning | Beslutningstagning |
| Familie | MCDM | MCDM |
| Oprindelsesår≠ | 1981 | 2020 |
| Ophavsperson≠ | Hwang, C. L., Yoon, K. | Stević, Ž., Pamučar, D., Puška, A., Chatterjee, P. |
| Type≠ | Normalization (linear, range-scaling) | Utility function (ideal + anti-ideal reference) |
| Oprindelig kilde≠ | Hwang, C. L., Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications. Lecture Notes in Economics and Mathematical Systems, Vol. 186, Springer-Verlag DOI ↗ | Stević, Ž., Pamučar, D., Puška, A., Chatterjee, P. (2020). Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS). Computers & Industrial Engineering DOI ↗ |
| Aliasser | — | — |
| Relaterede | 8 | 8 |
| Resumé≠ | MIN-MAX-NORMALIZATION (Min-Max Normalization — linear rescaling of each criterion column to [0, 1]) is a normalization multi-criteria decision-making (MCDM) method introduced by Hwang, C. L., Yoon, K. in 1981. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | MARCOS (Measurement of Alternatives and Ranking according to Compromise Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Stević, Ž., Pamučar, D., Puška, A., Chatterjee, P. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateDatasæt ↗ |
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