skcriteria.agg.edas module
Evaluation based on Distance from Average Solution - EDAS.
The EDAS method evaluates alternatives by comparing them to an average solution benchmark. It calculates two key metrics: Positive Distance from Average (PDA) for performance exceeding the average, and Negative Distance from Average (NDA) for performance below average. These measures capture how each alternative deviates from the mean performance across all criteria.
The final appraisal combines these deviations through a weighted, normalized scoring process. After computing weighted sums of PDA and NDA for each alternative, the method normalizes these values and averages them to produce a comprehensive evaluation score.
- class skcriteria.agg.edas.EDAS[source]
Bases:
SKCDecisionMakerABCRank alternatives using EDAS method.
The Evaluation based on Distance from Average Solution (EDAS) method ranks alternatives by comparing their performance to the average solution across all criteria. For each alternative, it calculates Positive (PDA) and Negative (NDA) distances from average values, which are then weighted, normalized, and combined into a final appraisal score.
References