Vertaile menetelmiä
Tarkastele valitsemiasi menetelmiä rinnakkain; eroavat rivit korostetaan.
| Min-Max-normalisointi× | MABAC (Multi-Attributive Border Approximation area Comparison)× | Vaihtoehtojen mittaaminen ja sijoitus kompromissiratkaisun mukaan× | |
|---|---|---|---|
| Tieteenala | Päätöksenteko | Päätöksenteko | Päätöksenteko |
| Menetelmäperhe | MCDM | MCDM | MCDM |
| Syntyvuosi≠ | 1981 | 2015 | 2020 |
| Kehittäjä≠ | Hwang, C. L., Yoon, K. | Pamučar, D., Ćirović, G. | Stević, Ž., Pamučar, D., Puška, A., Chatterjee, P. |
| Tyyppi≠ | Normalization (linear, range-scaling) | Border approximation area (distance from BAA) | Utility function (ideal + anti-ideal reference) |
| Alkuperäislähde≠ | 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 ↗ | Pamučar, D., Ćirović, G. (2015). The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC). Expert Systems with Applications 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 ↗ |
| Rinnakkaisnimet | — | — | — |
| Liittyvät | 8 | 8 | 8 |
| Tiivistelmä≠ | 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. | MABAC (Multi-Attributive Border Approximation area Comparison) is a ranking multi-criteria decision-making (MCDM) method introduced by Pamučar, D., Ćirović, G. in 2015. 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. |
| ScholarGateAineisto ↗ |
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