A Study on the Interpretability of a Fuzzy System to Control an Inverted Pendulum
Bahadır Zeren, Muhammet Deveci, Simon Coupland, Robert I. John, Ender Özcan · 2019
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.