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Descomposició Logarítmica de la Importància dels Criteris×Classificació Integral Basada en Distàncies×
CampPresa de decisionsPresa de decisions
FamíliaMCDMMCDM
Any d'origen20242022
Autor originalPala, O.Krstić, M., Agnusdei, G. P., Tadić, S., Kovač, M., Miglietta, P. P.
TipusObjective weighting via logarithmic decompositionDistance from PIS/NIS/AS (Euclidean × Taxicab combined)
Font seminalPala, O. (2024). Assessment of the social progress on European Union by logarithmic decomposition of criteria importance. Expert Systems With Applications DOI ↗Krstić, M., Agnusdei, G. P., Tadić, S., Kovač, M., Miglietta, P. P. (2022). A Novel Axiomatic DEA-COBRA Framework for Evaluating the Sustainable Performance of Agri-Food Systems. Sustainability link ↗
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ResumLODECI (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.COBRA (COmprehensive distance Based RAnking) is a ranking multi-criteria decision-making (MCDM) method introduced by Krstić, M., Agnusdei, G. P., Tadić, S., Kovač, M., Miglietta, P. P. in 2022. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateCompara mètodes: LODECI · COBRA. Recuperat el 2026-06-17 de https://scholargate.app/ca/compare