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A study on the interpretability of a fuzzy system to control an inverted pendulum

Zeren, Bahadır; Deveci, Muhammet; Coupland, Simon; John, Robert; Ender¨ozcan, Ender¨ozcanender¨

Authors

Bahadır Zeren bahadir.zeren@nottingham.ac.uk

Muhammet Deveci muhammet.deveci@nottingham.ac.uk

Simon Coupland simonc@dmu.ac.uk

Robert John robert.john@nottingham.ac.uk

Ender¨ozcanender¨ Ender¨ozcan ender.ozcan@nottingham.ac.uk



Abstract

Fuzzy systems mimic human reasoning and provide solutions to problems under uncertainty via 'computing with words'. This particular strength of fuzzy systems is often discarded in some real world applications where the fuzzy sets are designed for control problems or created through training using historical data. This study explores the interpretability of fuzzy systems by generating 'meaningful' fuzzy sets using a dictionary constructed by humans and fuzzy transfer learning. The inverted pendulum control problem is used as a case study. The empirical results show that intepretability of a fuzzy system is achievable even for this problem at the expense of a 'slightly' reduced performance.

Start Date Jun 23, 2019
Publication Date Jun 26, 2019
APA6 Citation Zeren, B., Deveci, M., Coupland, S., John, R., & Ender¨ozcan, E. (2019). A study on the interpretability of a fuzzy system to control an inverted pendulum
Related Public URLs http://sites.ieee.org/fuzzieee-2019/
https://ieeexplore.ieee...me.jsp?punumber=1000302
Additional Information © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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