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이웃 적응형 가중 평균법 (neighbourhood-adaptive Ordered Weighted Averaging)×최선-최악법 (Best-Worst Method)×
분야의사결정의사결정
계열MCDMMCDM
기원 연도20142015
창시자Malczewski, J.; Liu, X.Rezaei, J.
유형Range-sensitive neighbourhood-local OWA — criterion weights w^q_k scale with local criterion variance within each spatial neighbourhood; order weights λ_k remain global, encoding a single risk attitude applied everywherePairwise comparison (best-to-others + others-to-worst vectors), LP
원전Malczewski, J., Liu, X. (2014). Local ordered weighted averaging in GIS-based multicriteria analysis. Annals of GIS DOI ↗Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega DOI ↗
별칭
관련88
요약LOCAL-OWA (neighbourhood-adaptive Ordered Weighted Averaging) is a ranking multi-criteria decision-making (MCDM) method introduced by Malczewski, J.; Liu, X. in 2014. 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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ScholarGate방법 비교: LOCAL-OWA · BWM. 2026-06-18에 다음에서 검색함: https://scholargate.app/ko/compare