Treffer: Comparison of Fuzzy Clustering Algorithms on UI GreenMetric University Rankings

Title:
Comparison of Fuzzy Clustering Algorithms on UI GreenMetric University Rankings
Authors:
Ozer Ozdemir, Asli Kaya Karakutuk
Source:
International Journal of Applied Mathematics, Computational Science and Systems Engineering. 6:230-237
Publisher Information:
World Scientific and Engineering Academy and Society (WSEAS), 2024.
Publication Year:
2024
Subject Terms:
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences, 0105 earth and related environmental sciences
Document Type:
Fachzeitschrift Article
Language:
English
ISSN:
2766-9823
DOI:
10.37394/232026.2024.6.19
Rights:
URL: https://wseas.com/journals/amcse/2024/a38amcse-019(2024).pdf
Accession Number:
edsair.doi...........7339fa85332cd8c8741670c080dd350c
Database:
OpenAIRE

Weitere Informationen

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.