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Rough-COPRAS×CILOS×
DomainePrise de décisionPrise de décision
FamilleMCDMMCDM
Année d'origine20182016
Auteur d'originePamučar, D. Božanić, D. Lukovac, V. Komazec, N.Zavadskas, E. K., Podvezko, V.
TypeRough outranking/ranking — Rough number (lower approximation L, upper approximation U)Relative criterion-loss matrix weighting (Mirkin theorem based)
Source fondatricePamučar, D., Božanić, D., Lukovac, V., Komazec, N. (2018). Normalized weighted geometric Bonferroni mean operator of interval rough numbers – application in interval rough DEMATEL-COPRAS model. Facta Universitatis Series: Mechanical Engineering 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
RésuméROUGH-COPRAS (Rough-COPRAS — Rough extension of COPRAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Pamučar, D. Božanić, D. Lukovac, V. Komazec, N. in 2018. 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.
ScholarGateJeu de données
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  2. 1 Sources
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  1. v1
  2. 1 Sources
  3. PUBLISHED

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ScholarGateComparer des méthodes: ROUGH-COPRAS · CILOS. Consulté le 2026-06-17 sur https://scholargate.app/fr/compare