Novel neutrosophic fuzzy max-min-based similarities and their application in clustering for educational decision-making support
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F25%3A10260601" target="_blank" >RIV/61989100:27240/25:10260601 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/article/10.1007/s12190-025-02520-1" target="_blank" >https://link.springer.com/article/10.1007/s12190-025-02520-1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s12190-025-02520-1" target="_blank" >10.1007/s12190-025-02520-1</a>
Alternative languages
Result language
angličtina
Original language name
Novel neutrosophic fuzzy max-min-based similarities and their application in clustering for educational decision-making support
Original language description
Neutrosophic fuzzy sets merge fuzzy logic with neutrosophic theory to better handle uncertain information by employing memberships of truth, indeterminacy, and falsity to evaluate fuzzy membership. This paper proposes new measures for similarity and distance, forming the basis for a unique clustering algorithm designed for neutrosophic fuzzy environments. Applied to educational data, this algorithm helps categorize students by their grade point averages and teacher evaluations, positively influencing high school graduation exam scores. Our method, validated through the DBI and SC, proves effective in identifying relevant subgroups for practical applications. This research not only demonstrates the algorithm's ability to improve student performance but also offers insights for educational decision-making in student training.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Applied Mathematics and Computing
ISSN
1598-5865
e-ISSN
1865-2085
Volume of the periodical
71
Issue of the periodical within the volume
5
Country of publishing house
DE - GERMANY
Number of pages
36
Pages from-to
nestránkováno
UT code for WoS article
001512255500001
EID of the result in the Scopus database
—