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On Explainability of Cluster Prototypes with Rough Sets: A Case Study in the FMCG Market Cover

On Explainability of Cluster Prototypes with Rough Sets: A Case Study in the FMCG Market

International Journal of Applied Mathematics and Computer Science
Volume 35 (2025): Issue 1 (March 2025)
By: Marek Grzegorowski,  Andrzej Janusz,  Łukasz Marcinowski,  Andrzej Skowron,  Dominik Ślęzak and  Grzegorz Śliwa  
Open Access
|Apr 2025

Authors

Marek Grzegorowski

m.grzegorowski@mimuw.edu.pl

Institute of Informatics, University of Warsaw, Warsaw, Poland

Andrzej Janusz

janusza@mimuw.edu.pl

Institute of Informatics, University of Warsaw, Warsaw, Poland
School of Information Systems, Queensland University of Technology, Brisbane, Australia

Łukasz Marcinowski

l.marcinowski@fitfoodpoland.pl

FitFood Solskiego, Cracow, Poland

Andrzej Skowron

Systems Research Institute Polish Academy of Sciences, Warsaw, Poland

Dominik Ślęzak

dominik.slezak@qedsoftware.com

Institute of Informatics, University of Warsaw, Warsaw, Poland
QED Software ul, Warsaw, Poland

Grzegorz Śliwa

g.sliwa@fitfoodpoland.pl

FitFood Solskiego, Cracow, Poland
DOI: https://doi.org/10.61822/amcs-2025-0002 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 19 - 31
Submitted on: Mar 25, 2024
|
Accepted on: Jan 9, 2025
|
Published on: Apr 1, 2025
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
RST,
clustering,
PCA,
UMAP,
XAI,
LLM,
TRISM,
FMCG,
supply management
Related subjects:
Mathematics,
Applied mathematics

© 2025 Marek Grzegorowski, Andrzej Janusz, Łukasz Marcinowski, Andrzej Skowron, Dominik Ślęzak, Grzegorz Śliwa, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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