Comparison of Fuzzy Clustering Algorithms on UI GreenMetric University Rankings

That universities will supply remarkable assistance on the pathway to sustainability by providing intellectual leadership in attaining a sustainable society is an acceptable and emphasized issue. Herewith, in this work, we aimed to divide the campuses into homogeneous groups using fuzzy clustering techniques by employing the UI GreenMetric World University Rankings data having ranked the world's prestigious universities every year since 2010. In the results obtained, these universities are separated into four groups. Generalized possibilistic fuzzy clustering algorithm formed the most homogeneous clusters. Also, this algorithm clustered universities in a shortest time. While the "education and research" and "waste" categories are the strength aspect of the top green campuses, "water" is determined as the improvement aspect of the less sustainable campuses.