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CRiteria Importance Through Intercriteria Correlation×Shannons entropiviktmetod×Fuzzy AHP×
ÄmnesområdeBeslutsfattandeBeslutsfattandeBeslutsfattande
FamiljMCDMMCDMMCDM
Ursprungsår199519481983
UpphovspersonDiakoulaki, D., Mavrotas, G., Papayannakis, L.Shannon, C. E.Van Laarhoven, P. J. M., Pedrycz, W.
TypStatistical contrast intensity + correlation-based objective weightingInformation-theoretic objective weighting (Shannon entropy)Pairwise comparison with Triangular Fuzzy Number (TFN: l, m, u) judgments — umbrella over Van Laarhoven-Pedrycz 1983, Buckley 1985, Chang 1992 extent analysis, Cheng 1996 entropy-based
UrsprungskällaDiakoulaki, 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 ↗Van Laarhoven, P. J. M., Pedrycz, W. (1983). A fuzzy extension of Saaty's priority theory. Fuzzy Sets and Systems DOI ↗
Alias
Närliggande888
SammanfattningCRITIC (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.FUZZY-AHP (Fuzzy AHP — Fuzzy extension of the Analytic Hierarchy Process) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Van Laarhoven, P. J. M., Pedrycz, W. in 1983. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateJämför metoder: CRITIC · ENTROPY · FUZZY-AHP. Hämtad 2026-06-19 från https://scholargate.app/sv/compare