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Extension sphérique de CODAS×Corrélation des critères et écart-type pour la pondération objective×
DomainePrise de décisionPrise de décision
FamilleMCDMMCDM
Année d'origine2019 / 20212010
Auteur d'origineKaraşan, Boltürk & Kutlu Gündoğdu (book chapter); earlier Kutlu Gündoğdu-Kahraman 2019c JMVLSCWang, Y. M., Luo, Y.
TypeSpherical outranking/ranking — Spherical Fuzzy Set (SFS: μ, ν, π; μ²+ν²+π² ≤ 1)Correlation-penalised standard-deviation weighting
Source fondatriceKaraşan, A., Boltürk, E., Kutlu Gündoğdu, F. (2021). Assessment of Livability Indices of Suburban Places of Istanbul by Using Spherical Fuzzy CODAS Method. In: Kahraman C., Kutlu Gündoğdu F. (eds.) Decision Making with Spherical Fuzzy Sets — Theory and Applications. Studies in Fuzziness and Soft Computing vol. 392. Springer DOI ↗Wang, Y. M., Luo, Y. (2010). Integration of correlations with standard deviations for determining attribute weights in multiple attribute decision making. Mathematical and Computer Modelling DOI ↗
Alias
Apparentées88
RésuméSF-CODAS (Spherical extension of CODAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Karaşan, Boltürk & Kutlu Gündoğdu (book chapter); earlier Kutlu Gündoğdu-Kahraman 2019c JMVLSC in 2019 / 2021. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.CCSD (Criteria Correlation and Standard Deviation objective weighting) is a weight objective multi-criteria decision-making (MCDM) method introduced by Wang, Y. M., Luo, Y. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateComparer des méthodes: SF-CODAS · CCSD. Consulté le 2026-06-15 sur https://scholargate.app/fr/compare