Multi-criteria Decision Support System for Recommendation of PhD Supervisor

Abstract

The development of technology is currently very rapid, this development is not only from the technology system of hardware and software. The research is a scientific work that is required for the achievement of PhD degree. Selection of a PhD supervisor is an important step that a student must take at an early stage in their career in their research work. The selection of the final PhD supervisor is an important factor in the student's research work so that students can get proper guidance to make it successful. When deciding whether a particular professor is an appropriate person to serve as supervisor, the student should judge the candidate based on a set of criteria that are important in the supervisor selection process. However, the lack of information about the supervisor can hamper students in making the selection of the supervisor. Also, identification of important criteria might be challenging for prospective students due to inexperience. Thus, a system is needed that can facilitate students in selecting the research work advisors in accordance with the research topic based on multi criteria like relevancy of the supervisor research area with your area of interest or relevance of their publications to your area of interest. In this regard, a multi-criteria decision support system will design to facilitate students in the PhD supervisor selection by recommending them according to their research area. Multi-criteria decision framework will help students in making their decisions in supervisor selection of their research work by recommending them supervisors based on several criteria’s accurately and quickly.