ScholarGate
Assistent
MCDMRankingcrisp

Evaluering baseret på afstand fra gennemsnitsløsning

EDAS (Evaluation Based on Distance from Average Solution) er en rangerende multi-kriterie beslutningstagningsmetode (MCDM) introduceret af Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z. i 2015. Den omdanner en beslutningsmatrix af alternativer scoret 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.

+11 more

Kilder

  1. Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z. (2015). Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica DOI: 10.15388/Informatica.2015.57

Sådan citerer du denne side

ScholarGate. (2026, June 2). Evaluation Based on Distance from Average Solution. ScholarGate. https://scholargate.app/da/decision-making/edas

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

ScholarGateEDAS (Evaluation Based on Distance from Average Solution). Hentet 2026-06-15 fra https://scholargate.app/da/decision-making/edas · Datasæt: https://doi.org/10.5281/zenodo.20539026