Abstract
Association rules and fuzzy association rules are vastly studied topics. Various measures for quantifying a quality of a (fuzzy) association rule were proposed in the past. In this article, we survey existing and propose some new quality measures for the whole rule bases of fuzzy association rules.
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This work was supported by the NPU II project LQ1602 IT4Innovations excellence in science.
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Rusnok, P., Burda, M. (2018). Global Quality Measures for Fuzzy Association Rule Bases. In: Kacprzyk, J., Szmidt, E., Zadrożny, S., Atanassov, K., Krawczak, M. (eds) Advances in Fuzzy Logic and Technology 2017. EUSFLAT IWIFSGN 2017 2017. Advances in Intelligent Systems and Computing, vol 643. Springer, Cham. https://doi.org/10.1007/978-3-319-66827-7_24
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DOI: https://doi.org/10.1007/978-3-319-66827-7_24
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