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MEREC-G×Mètode basat en els efectes d'eliminació de criteris×
CampPresa de decisionsPresa de decisions
FamíliaMCDMMCDM
Any d'origen20212021
Autor originalKeshavarz Ghorabaee, Hosseinzadeh Lotfi et al.Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Antucheviciene, J., Turskis, Z.
TipusObjective weight derivation via removal impact assessmentRemoval-effect objective weighting (logarithmic utility)
Font seminalKeshavarz Ghorabaee, M., Hosseinzadeh Lotfi, F., Behzadi, M., & Sałabun, W. (2021). MEREC: A new multi-criteria model to evaluate wind farm locations. Sustainability, 12(15), 6136. link ↗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 ↗
ÀliesMEREC-G, Generalized MEREC
Relacionats38
ResumMEREC-G (Method Based on Removal Effects of Criteria - Generalized) is an objective weight derivation method that assigns weights based on the impact of removing each criterion from the decision analysis. The core idea is that important criteria, when removed, cause large changes in the final ranking. Generalized variants extend the original MEREC to various aggregation logic and decision contexts.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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ScholarGateCompara mètodes: MEREC-G · MEREC. Recuperat el 2026-06-15 de https://scholargate.app/ca/compare