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qR-CODAS×मानदंड सहसंबंध और मानक विचलन वस्तुनिष्ठ भारण×
क्षेत्रनिर्णयननिर्णयन
परिवारMCDMMCDM
उद्भव वर्ष20222010
प्रवर्तकNaz, S., Akram, M., Sattar, A., Al-Shamiri, M. M. A. (2022, AIMS Math 7(9):17529-17569) — 2TLq-ROF CODAS family-adjacent variant (closest verified application paper) Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J. (2016, Economic Computation 50(3):25-44) — crisp CODAS skeleton + τ=0.02 convention Liu, P. & Wang, P. (2018, IJIS 33:259-280) — q-ROFWA / q-ROFWG aggregation operators Du, W. S. (2018, IJIS 33(4):802-817) — Minkowski-type q-ROF distance measures (Euclidean + Hamming) Yager, R. R. (2017, IEEE TFS 25:1222-1230) — foundational q-Rung Orthopair Fuzzy SetWang, Y. M., Luo, Y.
प्रकारq-Rung Orthopair outranking/ranking — q-Rung Orthopair Fuzzy Number (q-ROFN: μ, ν; μ^q+ν^q ≤ 1, q ≥ 1)Correlation-penalised standard-deviation weighting
मौलिक स्रोतYager, R. R. (2017). Generalized orthopair fuzzy sets. IEEE Transactions on Fuzzy Systems DOI ↗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
सारांशQR-CODAS (qR-CODAS — q-Rung Orthopair extension of CODAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Naz, S., Akram, M., Sattar, A., Al-Shamiri, M. M. A. (2022, AIMS Math 7(9):17529-17569) — 2TLq-ROF CODAS family-adjacent variant (closest verified application paper) Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J. (2016, Economic Computation 50(3):25-44) — crisp CODAS skeleton + τ=0.02 convention Liu, P. & Wang, P. (2018, IJIS 33:259-280) — q-ROFWA / q-ROFWG aggregation operators Du, W. S. (2018, IJIS 33(4):802-817) — Minkowski-type q-ROF 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.
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