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准则重要性对数分解法×自动成对线性排序组合×AROMAN(考虑双步归一化的排序顺序方法)×
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方法族MCDMMCDMMCDM
起源年份202420202022
提出者Pala, O.Konstantinos, N., Xenakis, A., Kehagias, A.Zdravković, M., Hamid, M., Radovanović, M.
类型Objective weighting via logarithmic decompositionPairwise dominance aggregation (automatic combination)Two-step normalisation (linear + vector) with weighted power aggregation
开创性文献Pala, O. (2024). Assessment of the social progress on European Union by logarithmic decomposition of criteria importance. Expert Systems With Applications DOI ↗Konstantinos, N., Xenakis, A., Kehagias, A. (2020). APLOCO: A linear programming-based multicriteria ranking method that handles dependent criteria and criteria groups. Operational Research link ↗Zdravković, M., Hamid, M., Radovanović, M. (2022). AROMAN — Alternative Ranking Order Method Accounting for Two-Step Normalisation. Journal of Computational Design and Engineering link ↗
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摘要LODECI (LOgarithmic DEcomposition of Criteria Importance) is a weight objective multi-criteria decision-making (MCDM) method introduced by Pala, O. in 2024. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.APLOCO (Automatic Pairwise Linear Order Combination) is a ranking multi-criteria decision-making (MCDM) method introduced by Konstantinos, N., Xenakis, A., Kehagias, A. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.AROMAN (Alternative Ranking Order Method Accounting for Two-Step Normalisation) is a ranking multi-criteria decision-making (MCDM) method introduced by Zdravković, M., Hamid, M., Radovanović, M. in 2022. 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: LODECI · APLOCO · AROMAN. 于 2026-06-19 检索自 https://scholargate.app/zh/compare