Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Proximity-Adjusted WLC× | CRiteria Importance Through Intercriteria Correlation× | |
|---|---|---|
| Галузь | Прийняття рішень | Прийняття рішень |
| Родина | MCDM | MCDM |
| Рік появи≠ | 2006 | 1995 |
| Автор методу≠ | Rinner, C.; Heppleston, A. | Diakoulaki, D., Mavrotas, G., Papayannakis, L. |
| Тип≠ | Spatially heterogeneous additive utility — criterion weights vary per alternative as a function of proximity to a reference location | Statistical contrast intensity + correlation-based objective weighting |
| Основоположне джерело≠ | Rinner, C., Heppleston, A. (2006). The spatial dimensions of multi-criteria evaluation — case study of a home buyer's spatial decision support system. Lecture Notes in Computer Science (GIScience 2006) DOI ↗ | Diakoulaki, D., Mavrotas, G., Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research DOI ↗ |
| Інші назви | — | — |
| Пов'язані | 8 | 8 |
| Підсумок≠ | PROXIMITY-WLC (Proximity-Adjusted WLC — spatially explicit weighted linear combination) is a ranking multi-criteria decision-making (MCDM) method introduced by Rinner, C.; Heppleston, A. in 2006. 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. |
| ScholarGateНабір даних ↗ |
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