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구간값 직관적 퍼지 COPRAS (Davoudabadi-Mousavi-Mohagheghi-Vahdani 2019)×Analytic Network Process (피드백 및 상호 의존성을 포함한 AHP)×Bayesian BWM×
분야의사결정의사결정의사결정
계열MCDMMCDMMCDM
기원 연도198919962020
창시자Atanassov, K. T., Gargov, G.Saaty, T. L.Mohammadi, M., Rezaei, J.
유형Compound-proportional ranking MCDM under Interval-Valued Intuitionistic Fuzzy uncertainty (IVIFN: ⟨[μ⁻,μ⁺],[ν⁻,ν⁺]⟩; μ⁺+ν⁺ ≤ 1) — Xu normalization + IVIF profit/cost sums + Garg score (GIS) compound Q_i + utility degree D_i (%)Weight_Subjective (pairwise comparison, supermatrix, network structure)Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
원전Atanassov, K. T., Gargov, G. (1989). Interval valued intuitionistic fuzzy sets. Fuzzy Sets and Systems DOI ↗Saaty, T. L. (1996). Decision Making with Dependence and Feedback: The Analytic Network Process. RWS Publications, Pittsburgh ISBN: 0-9620317-9-8Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗
별칭
관련888
요약IVIF-COPRAS (Interval-Valued Intuitionistic Fuzzy COPRAS (Davoudabadi-Mousavi-Mohagheghi-Vahdani 2019)) is a ranking multi-criteria decision-making (MCDM) method introduced by Atanassov, K. T., Gargov, G. in 1989. 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.BWM-BAYESIAN (Bayesian BWM — Probabilistic Group Best-Worst Method) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Mohammadi, M., Rezaei, J. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGate방법 비교: IVIF-COPRAS · ANP · BWM-BAYESIAN. 2026-06-19에 다음에서 검색함: https://scholargate.app/ko/compare