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局部加权线性组合 (Local WLC×基于标准移除效应的方法×
领域决策决策
方法族MCDMMCDM
起源年份20112021
提出者Malczewski, J.Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Antucheviciene, J., Turskis, Z.
类型Range-sensitive neighbourhood-local additive utility — criterion weights scale with local criterion variance within each spatial neighbourhoodRemoval-effect objective weighting (logarithmic utility)
开创性文献Malczewski, J. (2011). Local weighted linear combination. Transactions in GIS DOI ↗Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Antucheviciene, J., Turskis, Z. (2021). Determination of objective weights using a new method based on the removal effects of criteria (MEREC). Informatica DOI ↗
别名
相关88
摘要LOCAL-WLC (Local WLC — neighbourhood-adaptive weighted linear combination) is a ranking multi-criteria decision-making (MCDM) method introduced by Malczewski, J. in 2011. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.MEREC (MEthod based on the Removal Effects of Criteria) is a weight objective multi-criteria decision-making (MCDM) method introduced by Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Antucheviciene, J., Turskis, Z. in 2021. 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: LOCAL-WLC · MEREC. 于 2026-06-17 检索自 https://scholargate.app/zh/compare