Ranking method · Keshavarz Ghorabaee et al., 2015

EDAS

Evaluation based on Distance from Average Solution

Scores alternatives by how far above or below the average solution they sit.

How it works

1. Compute the average value of every criterion the "average solution".
2. For each alternative measure the Positive Distance from Average (PDA) and Negative Distance from Average (NDA), direction-aware.
3. Weight and sum them into SP and SN, normalize, and average into the appraisal score AS ∈ [0, 1].

Use it when

• Many alternatives cluster around typical values and 'better than average' is the natural question.
• You want a bounded, interpretable score.

Watch out for

• The average is the anchor a few extreme alternatives shift it and everyone's score with it.

Parameters

No extra parameters.

Cite the method

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, 26(3), 435-451.

@article{keshavarz2015edas,
  author  = {Keshavarz Ghorabaee, Mehdi and Zavadskas, Edmundas Kazimieras and Olfat, Laya and Turskis, Zenonas},
  title   = {Multi-criteria inventory classification using a new method of {E}valuation {B}ased on {D}istance from {A}verage {S}olution ({EDAS})},
  journal = {Informatica},
  volume  = {26},
  number  = {3},
  pages   = {435451},
  year    = {2015},
  doi     = {10.15388/Informatica.2015.57}
}