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SWARA II×CRITIC-M×Analiza Stosunku Ważeń Krok po Kroku×
DziedzinaPodejmowanie decyzjiPodejmowanie decyzjiPodejmowanie decyzji
RodzinaMCDMMCDMMCDM
Rok powstania201019952010
TwórcaKeršuliene, Zavadskas, and Turskis; extended by Zolfani et al.Based on Diakoulaki et al.'s CRITIC; modified variants developed laterKeršulienė, V., Zavadskas, E. K., Turskis, Z.
TypExpert-based stepwise weight derivation with ratio refinementObjective weight derivation via correlation and varianceSequential step-ratio subjective weighting
Źródło pierwotneKeršuliene, V., Zavadskas, E. K., & Turskis, Z. (2010). Selection of rational dispute resolution method by evaluating opposing parties' interest in civil litigation. Journal of Civil Engineering and Management, 16(3), 412-422. link ↗Diakoulaki, D., Mavrotas, G., & Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research, 22(7), 763-770. DOI ↗Keršulienė, V., Zavadskas, E. K., Turskis, Z. (2010). Selection of rational dispute resolution method by applying new step-wise weight assessment ratio analysis (SWARA). Journal of Business Economics and Management DOI ↗
Inne nazwySWARA II, SWARA 2CRITIC-M, Modified CRITIC
Pokrewne438
PodsumowanieSWARA II (Step-wise Weight Assessment Ratio Analysis - Improved) is an enhanced variant of the SWARA method for deriving criterion weights from expert assessments. Instead of requiring pairwise comparisons or absolute weight assignments, SWARA II asks experts to rank criteria, then assess the relative importance of each criterion compared to the next-ranked one. Improved variants enhance robustness and interpretability of weight derivation.CRITIC-M (Criteria Importance Through Intercriteria Correlation - Modified) is an objective weight derivation method that extends the classical CRITIC approach. It assigns weights to criteria based on two intrinsic properties of the decision matrix: variance (how much a criterion differentiates alternatives) and correlation (how much a criterion conflicts with or supplements others). Modified variants adjust the formulation to improve robustness or interpretability.SWARA (Step-Wise Weight Assessment Ratio Analysis) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Keršulienė, V., Zavadskas, E. K., Turskis, Z. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGatePorównaj metody: SWARA II · CRITIC-M · SWARA. Pobrano 2026-06-20 z https://scholargate.app/pl/compare