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LOgarithmic Percentage Change-driven Objective Weighting×적응형 표준화 구간 기반 대안 순위 기법×
분야의사결정의사결정
계열MCDMMCDM
기원 연도20222024
창시자Ecer, F., Pamučar, D.Kara, K., Yalçın, G. C., Kaygısız, E. G., Simic, V., Örnek, A. Ş., Pamucar, D.
유형Logarithmic percentage change variance-based objective weightingTwo-level standardization + ideal/anti-ideal utility (β-anchored)
원전Ecer, F., Pamučar, D. (2022). A novel LOPCOW-DOBI integrated sustainability performance evaluation methodology: An application in developing country banking sector. Omega DOI ↗Kara, K., Yalçın, G. C., Kaygısız, E. G., Simic, V., Örnek, A. Ş., Pamucar, D. (2024). A picture fuzzy CIMAS-ARTASI model for website performance analysis in human resource management. Applied Soft Computing DOI ↗
별칭
관련88
요약LOPCOW (LOgarithmic Percentage Change-driven Objective Weighting) is a weight objective multi-criteria decision-making (MCDM) method introduced by Ecer, F., Pamučar, D. in 2022. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.ARTASI (Alternative Ranking Technique based on Adaptive Standardized Intervals) is a ranking multi-criteria decision-making (MCDM) method introduced by Kara, K., Yalçın, G. C., Kaygısız, E. G., Simic, V., Örnek, A. Ş., Pamucar, D. in 2024. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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