Glass Type Identification Using Rough Sets Theory in the RSES Program

Authors

  • Piotr Januszewski Kazimierz Wielki University

DOI:

https://doi.org/10.34767/SIMIS.2024.01.03

Keywords:

data analysis, glass type, rough sets theory, decision rules, RSES

Abstract

The article presents an approach to glass type identification based on rough set theory in the RSES program. The theoretical basis of this method is presented, the data analysis process is described and the results of glass type identification are presented.

References

Pawlak, Z. (1982). Rough Sets. International Journal of Computer and Information Sciences, 11(5), 341–356.

Pawlak, Z., & Skowron, A. (2007). Rudiments of rough sets. Information Sciences, 177(1), 3–27.

Slowinski, R., & Vanderpooten, D. (2000). A generalized definition of rough approximations based on similarity. IEEE Transactions on Knowledge and Data Engineering, 12(2), 331–336.

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Published

2024-03-16

Issue

Vol. 16 No. 1 (2024): Studies and Materials in Applied Computer Science

Section

Artykuły

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

How to Cite

Glass Type Identification Using Rough Sets Theory in the RSES Program. (2024). Studia I Materiały Informatyki Stosowanej, 16(1), 18-21. https://doi.org/10.34767/SIMIS.2024.01.03