Selection of Faculty Promotion in a Technical Institution using TOPSIS Method

Faculty selection is a most important issue of a professional institution which contributes to the overall performance of institutions and it is very hard problem. It is typically used for a multi-criteria group decision problem. According to the importance of technical institution, it is necessarily to select the faculty member in a right path way. It is also one of the important tasks for the management. In this paper, TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method has been applied in multi-criteria Decision Analysis. The proposed approach is used in promotion of faculty members by providing a large number of datasets using machine learning Algorithm. In this study, the faculty qualification, experience, communication skills, subject knowledge, contribution towards institution, feedback from students/management, No. of publication/Guest lecture of each employee will be examine for the promotion of a faculty member.