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Rough-COPRAS×Kriteriums-Impact-LOSs-objektive Gewichtungsmethode×
FachgebietEntscheidungsfindungEntscheidungsfindung
FamilieMCDMMCDM
Entstehungsjahr20182016
UrheberPamučar, D. Božanić, D. Lukovac, V. Komazec, N.Zavadskas, E. K., Podvezko, V.
TypRough outranking/ranking — Rough number (lower approximation L, upper approximation U)Relative criterion-loss matrix weighting (Mirkin theorem based)
Wegweisende QuellePamučar, 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 ↗
Aliasnamen
Verwandt88
ZusammenfassungROUGH-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.
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ScholarGateMethoden vergleichen: ROUGH-COPRAS · CILOS. Abgerufen am 2026-06-17 von https://scholargate.app/de/compare