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| PiF-ARAS× | CRiteria Importance Through Intercriteria Correlation× | |
|---|---|---|
| Ämnesområde | Beslutsfattande | Beslutsfattande |
| Familj | MCDM | MCDM |
| Ursprungsår≠ | 2013 | 1995 |
| Upphovsperson≠ | Cuong, B. C., Kreinovich, V. | Diakoulaki, D., Mavrotas, G., Papayannakis, L. |
| Typ≠ | Picture utility-degree ranking — Picture Fuzzy Number (PiFN: μ, η, ν; μ+η+ν ≤ 1) | Statistical contrast intensity + correlation-based objective weighting |
| Ursprungskälla≠ | Cuong, B. C., Kreinovich, V. (2013). Picture fuzzy sets — A new concept for computational intelligence problems. 2013 Third World Congress on Information and Communication Technologies (WICT 2013) DOI ↗ | Diakoulaki, D., Mavrotas, G., Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research DOI ↗ |
| Alias | — | — |
| Närliggande | 8 | 8 |
| Sammanfattning≠ | PIF-ARAS (PiF-ARAS — Picture Fuzzy extension of ARAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Cuong, B. C., Kreinovich, V. in 2013. 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. |
| ScholarGateDatamängd ↗ |
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