: Determine the relative importance of each criterion. The sum of all weights should equal 1.0 (or 100%).
Studies have shown that the SAW model can provide superior performance compared to other methods like the OIF index for specific scenarios like groundwater prospect mapping . Real-World Applications of SAW saw index
Normalization transforms raw data into a comparable scale (0-1). The normalization formula depends on whether the criterion is a (higher is better) or a cost (lower is better). Benefit Criterion: Cost Criterion: 4. Apply Weights Assign weights ( ) to each criterion based on its importance, ensuring 5. Calculate the SAW Index (Preference Value) Calculate the final preference value ( Vicap V sub i ) for each alternative ( Aicap A sub i : Determine the relative importance of each criterion
Generally indicates a better alternative (closer to the ideal solution). Apply Weights Assign weights ( ) to each