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On Explainable Fuzzy Recommenders and their Performance Evaluation Cover

On Explainable Fuzzy Recommenders and their Performance Evaluation

International Journal of Applied Mathematics and Computer Science
Volume 29 (2019): Issue 3 (September 2019)
By: Tomasz Rutkowski,  Krystian Łapa and  Radosław Nielek  
Open Access
|Sep 2019

Authors

Tomasz Rutkowski

XAI@senfino.com

Senfino, New York
Faculty of Information Technology, Polish-Japanese Academy of Information Technology, Warsaw, Poland

Krystian Łapa

Institute of Computational Intelligence, Częstochowa University of Technology, Częstochowa, Poland

Radosław Nielek

Faculty of Information Technology, Polish-Japanese Academy of Information Technology, Warsaw, Poland
DOI: https://doi.org/10.2478/amcs-2019-0044 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 595 - 610
Submitted on: Mar 5, 2019
Accepted on: Apr 29, 2019
Published on: Sep 28, 2019
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
recommender systems,
explainable recommendations,
fuzzy systems,
Akaike information criterion
Related subjects:
Mathematics,
Applied mathematics

© 2019 Tomasz Rutkowski, Krystian Łapa, Radosław Nielek, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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