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Rough-MARCOS×Analytic Network Process (피드백 및 상호 의존성을 포함한 AHP)×
분야의사결정의사결정
계열MCDMMCDM
기원 연도20221996
창시자Matić, B. Marinković, M. Jovanović, S. Sremac, S. Stević, Ž.Saaty, T. L.
유형Rough outranking/ranking — Rough number (lower approximation L, upper approximation U)Weight_Subjective (pairwise comparison, supermatrix, network structure)
원전Matić, B., Marinković, M., Jovanović, S., Sremac, S., Stević, Ž. (2022). Intelligent Novel IMF D-SWARA—Rough MARCOS Algorithm for Selection Construction Machinery for Sustainable Construction of Road Infrastructure. Buildings DOI ↗Saaty, T. L. (1996). Decision Making with Dependence and Feedback: The Analytic Network Process. RWS Publications, Pittsburgh ISBN: 0-9620317-9-8
별칭
관련88
요약ROUGH-MARCOS (Rough-MARCOS — Rough extension of MARCOS) is a ranking multi-criteria decision-making (MCDM) method introduced by Matić, B. Marinković, M. Jovanović, S. Sremac, S. Stević, Ž. in 2022. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.ANP (Analytic Network Process (AHP with feedback and interdependences)) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Saaty, T. L. in 1996. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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