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Proximity-Adjusted WLC×Labākā-Sliktākā metode×
NozareLēmumu pieņemšanaLēmumu pieņemšana
SaimeMCDMMCDM
Izcelsmes gads20062015
AutorsRinner, C.; Heppleston, A.Rezaei, J.
TipsSpatially heterogeneous additive utility — criterion weights vary per alternative as a function of proximity to a reference locationPairwise comparison (best-to-others + others-to-worst vectors), LP
PirmavotsRinner, 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 ↗Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega DOI ↗
Citi nosaukumi
Saistītās88
KopsavilkumsPROXIMITY-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.BWM (Best-Worst Method) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Rezaei, J. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateSalīdzināt metodes: PROXIMITY-WLC · BWM. Izgūts 2026-06-18 no https://scholargate.app/lv/compare