Ranking epileptic patients' perceived intelligence parameters in data envelopment analysis

Abstract

In the course of improving various abilities of Data Envelopment Analysis (DEA) models, many investigations have been carried out for ranking Decision Making Units (DMUs). This is an important issue both in theory and practice. There exist a variety of papers which apply different ranking methods to a real data set. This study wants to rank the perceived intelligence parameters for People With Epilepsy (PWE) based on Gardner's theory by considering the demographic, illness background, and Awang's database using Enhanced Russell Measure (ERM) and ERM super-efficiency in DEA. The study has determined the priority of eight perceived intelligence parameters skills by considering epileptics' demographic and used this priority to enhance the employability of PWE since employment is one of the most challenging issues facing by PWE. Previous studies have shown that PWE have high unemployment rates, underpaid, and cannot keep their jobs because of stigma, seizure severity and other psychological deficiencies. The results from this study are important and may improve the employment opportunities of PWE.