A Hybrid Intelligence Approach for the Support of University Admission Process

Abstract

Decisions shape important outcomes for individuals, businesses, and societies and the cost of suboptimal decisions is increasing (Milkman et al., 2009). Eligibility decision is an important sub-category of decisions, where a candidate’s eligibility for a certain benefit, program, etc. is decided. While previous research identified different approaches for eligibility decision support, all have their deficits. Hybrid Intelligence is identified by research to be a superior approach for general decision support, however, relevant literature in the field of eligibility decision making is lacking. This thesis aims to analyse how eligibility decisions could be supported. We take advantage of the available concrete data and use the example of the student admission decision for the Master program of Business Information System at FHNW to identify the best strategy to support the decision-making process, hoping to shed some light on the possible implementations to support general eligibility decision-making.