Decision making Assessment model for University admission

Educational data mining has the potential to enhance the decision making by providing services to academicians. The students are confused when they aspire to get admission in selected colleges. Depending upon the university ranking the students get admission based on certain parameters. This paper presents a decision making assessment model that relies on combination of Distillation of Data through Human Judgment and fuzzy inference systems (FISs) to accommodate imprecise data using fuzzy rules after applying data attribute reduction to overcome uncertainty and complexity in the assessment model. This model was implemented using Weka and Matlab software.