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Läheisyyskorjattu WLC×CRiteria Importance Through Intercriteria Correlation (CRITIC)×
TieteenalaPäätöksentekoPäätöksenteko
MenetelmäperheMCDMMCDM
Syntyvuosi20061995
KehittäjäRinner, C.; Heppleston, A.Diakoulaki, D., Mavrotas, G., Papayannakis, L.
TyyppiSpatially heterogeneous additive utility — criterion weights vary per alternative as a function of proximity to a reference locationStatistical contrast intensity + correlation-based objective weighting
AlkuperäislähdeRinner, 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 ↗
Rinnakkaisnimet
Liittyvät88
TiivistelmäPROXIMITY-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.
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ScholarGateVertaile menetelmiä: PROXIMITY-WLC · CRITIC. Haettu 2026-06-18 osoitteesta https://scholargate.app/fi/compare