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Verkiezing gebaseerd op relatieve waardeverhoudingen×CRiteria Importance Through Intercriteria Correlation×Shannon Entropy Weighting Method×
VakgebiedBesluitvormingBesluitvormingBesluitvorming
FamilieMCDMMCDMMCDM
Jaar van ontstaan201519951948
GrondleggerShyur, H. J., Yin, L., Shih, H. S., Cheng, C. B.Diakoulaki, D., Mavrotas, G., Papayannakis, L.Shannon, C. E.
TypeProspect-theory value function with reference-point separationStatistical contrast intensity + correlation-based objective weightingInformation-theoretic objective weighting (Shannon entropy)
Oorspronkelijke bronShyur, H. J., Yin, L., Shih, H. S., Cheng, C. B. (2015). A multiple criteria decision making method based on relative value distances. Foundations of Computing and Decision Sciences DOI ↗Diakoulaki, D., Mavrotas, G., Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research DOI ↗Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal DOI ↗
Aliassen
Verwant488
SamenvattingERVD (Election based on Relative Value Distances) is a ranking multi-criteria decision-making (MCDM) method introduced by Shyur, H. J., Yin, L., Shih, H. S., Cheng, C. B. 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.ENTROPY (Shannon Entropy Weighting Method) is a weight objective multi-criteria decision-making (MCDM) method introduced by Shannon, C. E. in 1948. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateMethoden vergelijken: ERVD · CRITIC · ENTROPY. Geraadpleegd op 2026-06-19 via https://scholargate.app/nl/compare