Analysis of Data Normalization in Decision Making Process for ICU's Patients During the Pandemic

Multi Criteria Decision Making (MCDM) helps decision makers to select the best solution among the set of alternatives with respect to the criteria which have different scales. Selection of the best solution by comparison between alternatives in most MCDM problems needs the normalizing process that maps criteria into the same scale. Hence, using different normalization techniques produces a different ranking of alternatives and has influence effects on the final ranking. So, selecting a more suitable technique for the MCDM problem leads to more accurate ranking results. Considering the current pandemic and the importance of efficient usage of clinical staff and ICU's bed, using more proper normalization techniques assists decision makers to rank and prioritize ICU's patients with less error and facilitates resource allocation in ICU. This study introduces an assessment framework using different metrics to ensure a more proper normalization technique for the chosen MCDM method.