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Logaritmická dekompozícia dôležitosti kritérií×Komplexné hodnotenie založené na vzdialenosti×
OdborRozhodovanieRozhodovanie
RodinaMCDMMCDM
Rok vzniku20242022
TvorcaPala, O.Krstić, M., Agnusdei, G. P., Tadić, S., Kovač, M., Miglietta, P. P.
TypObjective weighting via logarithmic decompositionDistance from PIS/NIS/AS (Euclidean × Taxicab combined)
Pôvodný zdrojPala, 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 ↗
Ďalšie názvy
Príbuzné88
ZhrnutieLODECI (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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ScholarGatePorovnať metódy: LODECI · COBRA. Získané 2026-06-18 z https://scholargate.app/sk/compare