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Extension DHF-COPRAS (Dual Hesitant Fuzzy extension of COPRAS)×CILOS×
DomainePrise de décisionPrise de décision
FamilleMCDMMCDM
Année d'origine20202016
Auteur d'origineRani, P., Mishra, A. R., Krishankumar, R., Mardani, A., Cavallaro, F., Ravichandran, K. S., Balasubramanian, K.Zavadskas, E. K., Podvezko, V.
TypeDual Hesitant outranking/ranking — Dual Hesitant Fuzzy Element (DHFE: h(x) membership set, g(x) non-membership set)Relative criterion-loss matrix weighting (Mirkin theorem based)
Source fondatriceRani, P., Mishra, A. R., Krishankumar, R., Mardani, A., Cavallaro, F., Ravichandran, K. S., Balasubramanian, K. (2020). Hesitant Fuzzy SWARA-Complex Proportional Assessment Approach for Sustainable Supplier Selection (HF-SWARA-COPRAS). Symmetry DOI ↗Zavadskas, E. K., Podvezko, V. (2016). Integrated Determination of Objective Criteria Weights in MCDM. International Journal of Information Technology & Decision Making DOI ↗
Alias
Apparentées88
RésuméDHF-COPRAS (Dual Hesitant Fuzzy extension of COPRAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Rani, P., Mishra, A. R., Krishankumar, R., Mardani, A., Cavallaro, F., Ravichandran, K. S., Balasubramanian, K. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.CILOS (Criterion Impact LOSs objective weighting method) is a weight objective multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Podvezko, V. in 2016. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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  1. v1
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ScholarGateComparer des méthodes: DHF-COPRAS · CILOS. Consulté le 2026-06-18 sur https://scholargate.app/fr/compare