Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| LINear programming technique for Multidimensional Analysis of Preference× | CRiteria Importance Through Intercriteria Correlation× | |
|---|---|---|
| Nozare | Lēmumu pieņemšana | Lēmumu pieņemšana |
| Saime | MCDM | MCDM |
| Izcelsmes gads≠ | 1973 | 1995 |
| Autors≠ | Srinivasan, V., Shocker, A. D. | Diakoulaki, D., Mavrotas, G., Papayannakis, L. |
| Tips≠ | LP-based ideal point from pairwise preference judgements | Statistical contrast intensity + correlation-based objective weighting |
| Pirmavots≠ | Srinivasan, V., Shocker, A. D. (1973). Linear programming techniques for multidimensional analysis of preferences. Psychometrika DOI ↗ | Diakoulaki, D., Mavrotas, G., Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research DOI ↗ |
| Citi nosaukumi | — | — |
| Saistītās | 8 | 8 |
| Kopsavilkums≠ | LINMAP (LINear programming technique for Multidimensional Analysis of Preference) is a ranking multi-criteria decision-making (MCDM) method introduced by Srinivasan, V., Shocker, A. D. in 1973. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | CRITIC (CRiteria Importance Through Intercriteria Correlation) is a weight objective multi-criteria decision-making (MCDM) method introduced by Diakoulaki, D., Mavrotas, G., Papayannakis, L. in 1995. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
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