The Impact of Entropy Weighting Technique on MCDM-Based Rankings on Patients Using Ambiguous medical Data

Multi-Criteria Decision Making (MCDM) is a method that allows to make a decision based on many different factors. Such solutions are important from a practical point of view in situations where there are many important criteria to examine. This work considers a situation in which many patients suffer from multiple symptoms, and focus should be on those most in need. For this purpose, publicly available databases related to COVID-19 symptoms were used. The proposition is composed of processing different types of samples and a combination of their numerical values. Then, it is used in selected entropy-weighted MCDM methods for returning a patient’s ranking. The proposed solution shows that this approach has great potential due to the possibility of practical use.