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APPLICATION OF INTUITIONISTIC FUZZY SETS IN DETERMINING RESEARCH TOPICS FOR MATHEMATICS EDUCATION STUDENTS THROUGH THE NORMALIZED EUCLIDEAN DISTANCE METHOD

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 17 No. 2 (2023) · pp. 0995–1006

DOI
10.30598/barekengvol17iss2pp0995-1006
ISSN
2615-3017, 1978-7227
Published
2023-06-11
Publisher
PATTIMURA UNIVERSITY
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

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.

Collaboration network of the authors

18 authors · 34 co-authorship links · 12 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universitas PGRI Semarang
  • Universitas Negeri Surabaya
  • Universitas Hang Tuah
  • Institut Teknologi dan Sains Nahdlatul Ulama
  • Sunan Kalijaga State Islamic University Yogyakarta
  • STKIP Taman Siswa Bima
  • Diponegoro University
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Muhtarom MuhtaromUniversitas PGRI Semarang2
Nizaruddin NizaruddinUniversitas PGRI Semarang2
Yanuar Hery MurtiantoUniversitas PGRI Semarang2
Siti Maghfirotun AminUniversitas Negeri Surabaya1
Patmaniar PatmaniarUniversitas Negeri Surabaya1
Dedi GunawanSunan Kalijaga State Islamic University Yogyakarta1
Muslim MuslimSTKIP Taman Siswa Bima1
Sutrisno SutrisnoDiponegoro University1
Robert TambunAffiliation unknown1
Hadi PrasutiyonAffiliation unknown1
Robert TambunUniversitas Hang Tuah1
Hadi PrasutiyonUniversitas Hang Tuah1
Efuansyah EfuansyahUniversitas PGRI Silampari1
Kiki HenraAffiliation unknown1
Ahmad Ajie SajidinAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://ojs3.unpatti.ac.id/index.php/barekeng/oai, first harvested 5 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">APPLICATION OF INTUITIONISTIC FUZZY SETS IN DETERMINING RESEARCH TOPICS FOR MATHEMATICS EDUCATION STUDENTS THROUGH THE NORMALIZED EUCLIDEAN DISTANCE METHOD</dc:title>
	<dc:creator>Sutrisno, Sutrisno</dc:creator>
	<dc:creator>Hariyanti, Firda</dc:creator>
	<dc:creator>Sulaiman, R</dc:creator>
	<dc:description xml:lang="en-US">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.</dc:description>
	<dc:publisher xml:lang="en-US">PATTIMURA UNIVERSITY</dc:publisher>
	<dc:date>2023-06-11</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/8063</dc:identifier>
	<dc:identifier>10.30598/barekengvol17iss2pp0995-1006</dc:identifier>
	<dc:source xml:lang="en-US">BAREKENG: Jurnal Ilmu Matematika dan Terapan; Vol 17 No 2 (2023): BAREKENG: Journal of Mathematics and Its Applications; 0995-1006</dc:source>
	<dc:source>2615-3017</dc:source>
	<dc:source>1978-7227</dc:source>
	<dc:source>10.30598/barekengvol17iss2year2023</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/8063/5961</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2023 Sutrisno Sutrisno, Firda Hariyanti, R Sulaiman</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>