विधियों की तुलना करें

चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।

कम्बिनेटिव डिस्टेंस-बेस्ड असेसमेंट×मानदंड सहसंबंध और मानक विचलन वस्तुनिष्ठ भारण×
क्षेत्रनिर्णयननिर्णयन
परिवारMCDMMCDM
उद्भव वर्ष20162010
प्रवर्तकKeshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J.Wang, Y. M., Luo, Y.
प्रकारDistance from anti-ideal (Euclidean + Taxicab)Correlation-penalised standard-deviation weighting
मौलिक स्रोतKeshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J. (2016). A new combinative distance-based assessment (CODAS) method for multi-criteria decision-making. Economic Computation and Economic Cybernetics Studies and Research link ↗Wang, Y. M., Luo, Y. (2010). Integration of correlations with standard deviations for determining attribute weights in multiple attribute decision making. Mathematical and Computer Modelling DOI ↗
उपनाम
संबंधित88
सारांशCODAS (Combinative Distance-Based Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J. in 2016. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.CCSD (Criteria Correlation and Standard Deviation objective weighting) is a weight objective multi-criteria decision-making (MCDM) method introduced by Wang, Y. M., Luo, Y. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
ScholarGateडेटासेट
  1. v1
  2. 1 स्रोत
  3. PUBLISHED
  1. v1
  2. 1 स्रोत
  3. PUBLISHED

खोज पर जाएँ Download slides

ScholarGateविधियों की तुलना करें: CODAS · CCSD. 2026-06-15 को यहाँ से प्राप्त https://scholargate.app/hi/compare