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

Zeren, Bahad?r; Deveci, Muhammet; Coupland, Simon; John, Robert; Ender�ozcan, Ender�ozcanender�

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Bahad?r Zeren

Muhammet Deveci

Simon Coupland

Robert John

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Professor of Computer Science and Operational Research


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.

Conference Name International Conference on Fuzzy Systems (Fuzz-IEEE 2019)
Start Date Jun 23, 2019
End Date Jun 26, 2019
Acceptance Date Mar 12, 2019
Online Publication Date Jun 26, 2019
Publication Date Jun 26, 2019
Deposit Date Mar 18, 2019
Publicly Available Date Mar 18, 2019
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