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KEmeny Median Indicator Ranks Accordance×理想解相似优劣排序法×加权乘积模型×
领域决策决策决策
方法族MCDMMCDMMCDM
起源年份201419811969
提出者Krylovas, A. Zavadskas, E. K. Kosareva, N. Dadelo, S.Hwang, C. L., Yoon, K.Miller, D. W., Starr, M. K.
类型Group-of-criteria Kemeny-median weight elicitation + additive aggregation across two attribute groupsDistance-based (compromise)Multiplicative utility
开创性文献Krylovas, A., Zavadskas, E. K., Kosareva, N., Dadelo, S. (2014). New KEMIRA method for determining priorities of the attributes in solving MCDM problem. International Journal of Information Technology & Decision Making link ↗Hwang, C. L., Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications — A State-of-the-Art Survey. Lecture Notes in Economics and Mathematical Systems, Vol. 186, Springer-Verlag DOI ↗Miller, D. W., Starr, M. K. (1969). Executive Decisions and Operations Research. Prentice-Hall DOI ↗
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摘要KEMIRA (KEmeny Median Indicator Ranks Accordance) is a ranking multi-criteria decision-making (MCDM) method introduced by Krylovas, A. Zavadskas, E. K. Kosareva, N. Dadelo, S. in 2014. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Hwang, C. L., Yoon, K. in 1981. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.WPM (Weighted Product Model) is a ranking multi-criteria decision-making (MCDM) method introduced by Miller, D. W., Starr, M. K. in 1969. 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: KEMIRA · TOPSIS · WPM. 于 2026-06-20 检索自 https://scholargate.app/zh/compare