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MARCOS 的概率语言学扩展×标准差法 (Criterion Impact LOSs objective weighting method)×
领域决策决策
方法族MCDMMCDM
起源年份20232016
提出者Wang, J., Wei, G., Wei, C., Wei, Y.Zavadskas, E. K., Podvezko, V.
类型Probabilistic Linguistic outranking/ranking — Probabilistic Linguistic Term Set (PLTS: {L_k|p_k})Relative criterion-loss matrix weighting (Mirkin theorem based)
开创性文献(). UNCONFIRMED — PL-MARCOS specific seminal not confirmed via systematic literature search. PENDING link ↗Zavadskas, E. K., Podvezko, V. (2016). Integrated Determination of Objective Criteria Weights in MCDM. International Journal of Information Technology & Decision Making DOI ↗
别名
相关88
摘要PL-MARCOS (Probabilistic Linguistic extension of MARCOS) is a ranking multi-criteria decision-making (MCDM) method introduced by Wang, J., Wei, G., Wei, C., Wei, Y. in 2023. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.CILOS (Criterion Impact LOSs objective weighting method) is a weight objective multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Podvezko, V. in 2016. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
ScholarGate数据集
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ScholarGate方法对比: PL-MARCOS · CILOS. 于 2026-06-18 检索自 https://scholargate.app/zh/compare