ScholarGate
Assistent
MCDMRankingcrisp

COmprehensive distance Based RAnking

COBRA (COmprehensive distance Based RAnking) er en rangeringsmetode inden for multi-kriterie beslutningstagning (MCDM - Multi-Criteria Decision Making), introduceret af Krstić, M., Agnusdei, G. P., Tadić, S., Kovač, M., Miglietta, P. P. i 2022. Den omdanner en beslutningsmatrix af alternativer, vurderet på flere kriterier, til et struktureret, reproducerbart resultat.

Anvend med DecisionMindSnartVideoSnartDownload slides

Læs hele metoden

Kun for medlemmer

Log ind med en gratis konto for at læse dette afsnit.

Log ind

Method map

The neighbourhood of related methods — select a node to explore.

+29 more

Kilder

  1. 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

Sådan citerer du denne side

ScholarGate. (2026, June 2). COmprehensive distance Based RAnking. ScholarGate. https://scholargate.app/da/decision-making/cobra

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side

Refereret af

ScholarGateCOBRA (COmprehensive distance Based RAnking). Hentet 2026-06-15 fra https://scholargate.app/da/decision-making/cobra · Datasæt: https://doi.org/10.5281/zenodo.20539026