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SWARA II×CRITIC-M×ধাপে ধাপে ওজন মূল্যায়ন অনুপাত বিশ্লেষণ×
ক্ষেত্রসিদ্ধান্ত গ্রহণসিদ্ধান্ত গ্রহণসিদ্ধান্ত গ্রহণ
পরিবারMCDMMCDMMCDM
উদ্ভবের বছর201019952010
প্রবর্তকKeršuliene, 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.
ধরনExpert-based stepwise weight derivation with ratio refinementObjective weight derivation via correlation and varianceSequential step-ratio subjective weighting
মৌলিক উৎসKeršuliene, 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 ↗
অপর নামSWARA II, SWARA 2CRITIC-M, Modified CRITIC
সম্পর্কিত438
সারসংক্ষেপSWARA 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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ScholarGateপদ্ধতির তুলনা করুন: SWARA II · CRITIC-M · SWARA. 2026-06-20 তারিখে সংগৃহীত, উৎস: https://scholargate.app/bn/compare