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Global Quality Measures for Fuzzy Association Rule Bases

  • Pavel RusnokEmail author
  • Michal Burda
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 643)

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.

Keywords

Global measures Fuzzy rules Fuzzy associations Data mining Rule bases 

Notes

Acknowledgment

This work was supported by the NPU II project LQ1602 IT4Innovations excellence in science.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Centre of Excellence IT4Innovations, Institute for Research and Applications of Fuzzy ModelingUniversity of OstravaOstravaCzech Republic

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