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Intervallwertige intuitionistisch-fuzzy VIKOR (Park, Cho & Kwun 2011)×Best-Worst Method×CRiteria Importance Through Intercriteria Correlation×
FachgebietEntscheidungsfindungEntscheidungsfindungEntscheidungsfindung
FamilieMCDMMCDMMCDM
Entstehungsjahr198920151995
UrheberAtanassov, K. T., Gargov, G.Rezaei, J.Diakoulaki, D., Mavrotas, G., Papayannakis, L.
TypCompromise-ranking MCDM under Interval-Valued Intuitionistic Fuzzy uncertainty (IVIFN: ⟨[μ⁻,μ⁺],[ν⁻,ν⁺]⟩; μ⁺+ν⁺ ≤ 1) — Lp-metric distance to interval-valued intuitionistic PISPairwise comparison (best-to-others + others-to-worst vectors), LPStatistical contrast intensity + correlation-based objective weighting
Wegweisende QuelleAtanassov, K. T., Gargov, G. (1989). Interval valued intuitionistic fuzzy sets. Fuzzy Sets and Systems DOI ↗Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega DOI ↗Diakoulaki, D., Mavrotas, G., Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research DOI ↗
Aliasnamen
Verwandt888
ZusammenfassungIVIF-VIKOR (Interval-Valued Intuitionistic Fuzzy VIKOR (Park, Cho & Kwun 2011)) 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.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.
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ScholarGateMethoden vergleichen: IVIF-VIKOR · BWM · CRITIC. Abgerufen am 2026-06-19 von https://scholargate.app/de/compare