Personalized Elective Selection

Abstract

This paper aims to recommend the appropriate elective subjects for management students keeping in mind their personalized priorities assigned to factors that influence their decision making. For achieving this objective, a hybrid multi-criteria technique fuzzy analytical hierarchy process and evaluation based on distance from average (EDA) has been adopted to analyze the criteria and determine the appropriate electives. The results of the study reveal that in different scenarios, based on the different priorities assigned by students, the choice of elective also varies. From a practical standpoint, the proposed model will help students in determining suitable subject choices in a real-time decision-making scenario and can be automated to provide quick dynamic decisions to students when they are faced with this challenge.