ScholarGate
Assistent

Methoden vergleichen

Prüfen Sie die ausgewählten Methoden nebeneinander; abweichende Zeilen sind hervorgehoben.

ROUGH-MABAC×Kriteriums-Impact-LOSs-objektive Gewichtungsmethode×
FachgebietEntscheidungsfindungEntscheidungsfindung
FamilieMCDMMCDM
Entstehungsjahr20192016
UrheberJia, F., Liu, Y., Wang, X.Zavadskas, E. K., Podvezko, V.
TypIF-Rough outranking/ranking — Intuitionistic Fuzzy Rough Number (membership μ, non-membership ν)Relative criterion-loss matrix weighting (Mirkin theorem based)
Wegweisende QuelleJia, F., Liu, Y., Wang, X. (2019). An extended MABAC method for multi-criteria group decision making based on intuitionistic fuzzy rough numbers. Expert Systems with Applications 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-MABAC (Rough-MABAC — Rough extension of MABAC) is a ranking multi-criteria decision-making (MCDM) method introduced by Jia, F., Liu, Y., Wang, X. in 2019. 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.
ScholarGateDatensatz
  1. v1
  2. 1 Quellen
  3. PUBLISHED
  1. v1
  2. 1 Quellen
  3. PUBLISHED

Zur Suche Folien herunterladen

ScholarGateMethoden vergleichen: ROUGH-MABAC · CILOS. Abgerufen am 2026-06-17 von https://scholargate.app/de/compare