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カテゴリベース評価技法による魅力度の測定×加法比率評価×
分野意思決定意思決定
系統MCDMMCDM
提唱年19942010
提唱者Bana e Costa, C. A., Vansnick, J.-C.Zavadskas, E. K., Turskis, Z.
種類Weight_Subjective (qualitative pairwise judgment, linear programming, MAVT-based)Additive utility ratio (optimal reference row)
原典Bana e Costa, C. A., Vansnick, J.-C. (1994). MACBETH — An interactive path towards the construction of cardinal value functions. International Transactions in Operational Research DOI ↗Zavadskas, E. K., Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision-making. Technological and Economic Development of Economy link ↗
別名
関連88
概要MACBETH (Measuring Attractiveness by a Categorical-Based Evaluation Technique) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Bana e Costa, C. A., Vansnick, J.-C. in 1994. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.ARAS (Additive Ratio Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by 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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ScholarGate手法を比較: MACBETH · ARAS. 2026-06-15に以下より取得 https://scholargate.app/ja/compare