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Interval-Valued Intuitionistic Fuzzy ARAS (Büyüközkan & Göçer 2018)×Metodo basato sugli effetti di rimozione dei criteri×
CampoProcesso decisionaleProcesso decisionale
FamigliaMCDMMCDM
Anno di origine19892021
IdeatoreAtanassov, K. T., Gargov, G.Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Antucheviciene, J., Turskis, Z.
TipoUtility-degree ranking MCDM under Interval-Valued Intuitionistic Fuzzy uncertainty (IVIFN: ⟨[μ⁻,μ⁺],[ν⁻,ν⁺]⟩; μ⁺+ν⁺ ≤ 1) — additive sum of weighted-normalized IVIF performance ratings benchmarked against an optimal reference rowRemoval-effect objective weighting (logarithmic utility)
Fonte seminaleAtanassov, K. T., Gargov, G. (1989). Interval valued intuitionistic fuzzy sets. Fuzzy Sets and Systems DOI ↗Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Antucheviciene, J., Turskis, Z. (2021). Determination of objective weights using a new method based on the removal effects of criteria (MEREC). Informatica DOI ↗
Alias
Correlati88
SintesiIVIF-ARAS (Interval-Valued Intuitionistic Fuzzy ARAS (Büyüközkan & Göçer 2018)) 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.MEREC (MEthod based on the Removal Effects of Criteria) is a weight objective multi-criteria decision-making (MCDM) method introduced by Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Antucheviciene, J., Turskis, Z. in 2021. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateConfronta i metodi: IVIF-ARAS · MEREC. Consultato il 2026-06-17 da https://scholargate.app/it/compare