Sutrisno, Firda Hariyanti, R. Sulaiman
An intuitionistic fuzzy set (IFS) can be helpful in decision-making as a concept to describe uncertainty. This study proposes the application of IFS in determining research topics for students of the mathematics education study program using the normalized Euclidean distance method. This study also shows the differences in the analysis results using the max-min composition method revised by De et al. (2001) with the normalized Hamming distance method and the normalized Euclidean distance method. The results show that the normalized Euclidean distance method can determine student research topics more accurately than other methods because they are careful in looking at distance differences. The normalized Euclidean distance method provides the best distance measure with a high confidence level in terms of accuracy. © 2023 Author(s).
Department of Mathematics Education, Faculty of Mathematics, Science, and Information Technology Education, Universitas PGRI Semarang, Sidodadi Timur Street No. 24–Dr. Cipto, Central Java, Semarang, 50232, Indonesia; Department of Mathematics Education, Faculty of Education, Institut Teknologi dan Sains Nahdlatul Ulama Pasuruan, Raya Warung Street Dowo Utara, Pohjentrek, East Java, Pasuruan, 67171, Indonesia; Department of Mathematics, Faculty of Mathematics and Natural Science, Universitas Negeri Surabaya, Lidah Wetan Street, Lidah Wetan, Lakarsantri, East Java, Surabaya, 60213, Indonesia
