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领域决策决策
方法族MCDMMCDM
起源年份20102015
提出者Zavadskas, E. K., Turskis, Z.Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z.
类型Additive utility ratio (optimal reference row)Distance from average solution
开创性文献Zavadskas, E. K., Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision-making. Technological and Economic Development of Economy link ↗Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z. (2015). Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica DOI ↗
别名
相关88
摘要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.EDAS (Evaluation Based on Distance from Average Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGate方法对比: ARAS · EDAS. 于 2026-06-19 检索自 https://scholargate.app/zh/compare