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L2T-SAWの言語的拡張×基準相関と標準偏差による客観的重み付け×
分野意思決定意思決定
系統MCDMMCDM
提唱年20182010
提唱者Cid-López, A., Hornos, M. J., Carrasco, R. A., Herrera-Viedma, E.Wang, Y. M., Luo, Y.
種類Linguistic outranking/ranking — 2-Tuple Linguistic Variable (2TL: (s_i, α))Correlation-penalised standard-deviation weighting
原典Cid-López, A., Hornos, M. J., Carrasco, R. A., Herrera-Viedma, E. (2018). Prioritization of the launch of ICT products and services through linguistic multi-criteria decision-making (2-tuple SAW). Technological and Economic Development of Economy 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 ↗
別名
関連88
概要L2T-SAW (Linguistic extension of L2T-SAW) is a ranking multi-criteria decision-making (MCDM) method introduced by Cid-López, A., Hornos, M. J., Carrasco, R. A., Herrera-Viedma, E. in 2018. 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.
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ScholarGate手法を比較: L2T-SAW · CCSD. 2026-06-18に以下より取得 https://scholargate.app/ja/compare