A stochastic model for analyzing the interpretability-accuracy trade-off in interpretable fuzzy systems using nested Hyperball structures

Krisztián Balázs, László T. Kóczy

Research output: Conference contribution

Abstract

Our recent work proposed a new meaning preservation approach together with a parameterizable nested hyperball structured search space for interpretable fuzzy systems in order to solve a problem of inconsistency observed in conventional interpretable fuzzy knowledge bases and simultaneously to address the adjustment of the trade-off between interpretability and accuracy. Based on intuitive reasonings and simulation results a conjecture was formulated about favorable trade-off adjustment properties of the proposed method. The aim of the present paper is to construct a mathematical model, in which the conjectured properties can be analyzed and formally verified. Some computational considerations about the interpretation of the resulting knowledge bases are also made.

Original languageEnglish
Title of host publication8th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2013 - Advances in Intelligent Systems Research
Pages72-79
Number of pages8
Publication statusPublished - dec. 1 2013
Event8th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2013 - Milan, Italy
Duration: szept. 11 2013szept. 13 2013

Publication series

Name8th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2013 - Advances in Intelligent Systems Research
Volume32

Other

Other8th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2013
CountryItaly
CityMilan
Period9/11/139/13/13

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ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Information Systems

Cite this

Balázs, K., & Kóczy, L. T. (2013). A stochastic model for analyzing the interpretability-accuracy trade-off in interpretable fuzzy systems using nested Hyperball structures. In 8th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2013 - Advances in Intelligent Systems Research (pp. 72-79). (8th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2013 - Advances in Intelligent Systems Research; Vol. 32).