Bandingkan kaedah

	PROXIMITY-WLC (Penyesuaian Jarak WLC	Metode Terbaik-Terburuk	CRiteria Importance Through Intercriteria Correlation
Bidang	Pembuatan Keputusan	Pembuatan Keputusan	Pembuatan Keputusan
Keluarga	MCDM	MCDM	MCDM
Tahun asal	2006	2015	1995
Pengasas	Rinner, C.; Heppleston, A.	Rezaei, J.	Diakoulaki, D., Mavrotas, G., Papayannakis, L.
Jenis	Spatially heterogeneous additive utility — criterion weights vary per alternative as a function of proximity to a reference location	Pairwise comparison (best-to-others + others-to-worst vectors), LP	Statistical contrast intensity + correlation-based objective weighting
Sumber perintis	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)	Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega	Diakoulaki, D., Mavrotas, G., Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research
Alias	—	—	—
Berkaitan	8	8	8
Ringkasan	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.	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.	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.