Research Article

Algorithms for Clustering Fuzzy Soft Sets Based on Their Energies

Authors

Nenad Stojanovic * Faculty of Science, University of Kragujevac, Radoja Domanovica 12, Kragujevac, 34000, Serbia.
Aslıhan Sezgin Department of Mathematics and Science Education, Faculty of Education, Amasya University, Amasya, Turkey.

https://doi.org/10.22105/scfa.vi.34

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Abstract

In this paper, we continue the study of fuzzy soft sets and their applications. Besides the significance of energy and $\lambda$-energy of fuzzy soft sets for developing decision-making algorithms, these energies are also crucial for forming data clustering algorithms. The main result of this work is the development of data clustering algorithms based on the energies of fuzzy soft sets.

Keywords

Fuzzy soft set Energy Singular values

References (23)

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Published 2025-07-21
Issue Vol. 2 No. 3 (2025): Soft Computing Fusion with Applications
Section Articles
Document Type Research Article
Views 860
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How to Cite

Stojanovic, N., & Sezgin, A. (2025). Algorithms for Clustering Fuzzy Soft Sets Based on Their Energies. Soft Computing Fusion With Applications , 2(3), 127-133. https://doi.org/10.22105/scfa.vi.34

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