A fuzzy-based career recommender system for senior high school students in K to 12 education

Abstract

In this paper, a proposed career recommender system was presented which aim to help not only the guidance counselor but most especially the senior high school students to guide them in considering numerous factors associated to their decision on what career they will pursue. In dealing with choosing the student attributes from numerous factors, a feature selection technique is appropriate to use to remove irrelevant features that affect the performance of the proposed fuzzy-based system. In this paper, different filter methods are used to select the best attributes then these attributes are used as crisp inputs. The result of the experiment shows reasonable result for making decisions. It is concluded that the proposed career recommender system for the students is very timely and will be one of the significant research work in the new era of education system in the Philippines.