Interpretability and Complexity of Design in the Creation of Fuzzy Logic Systems — A User Study

Rosli Razak, Tajul Rosli; Garibaldi, Jonathan M.; Wagner, Christian; Pourabdollah, Amir; Soria, Daniele

Abstract

In recent years, researchers have become increasingly more interested in designing an interpretable Fuzzy Logic System (FLS). Many studies have claimed that reducing the complexity of FLSs can lead to improved model interpretability. That is, reducing the number of rules tends to reduce the complexity of FLSs, thus improving their interpretability. However, none of these studies have considered interpretability and complexity from human perspectives. Since interpretability is of a subjective nature, it is essential to see how people perceive interpretability and complexity particularly in relation to creating FLSs. Therefore, in this paper we have investigated this issue using an initial user study. This is the first time that a user study has been used to assess the interpretability and complexity of designs in relation to creating FLSs. The user study involved a range of expert practitioners in FLSs and received a diverse set of answers. We are interested to see whether, from the perspectives of people, FLSs are necessarily more interpretable when they are less complex in terms of their design. Although the initial user study is based on small samples (i.e., 25 participants), nevertheless this research provides initial insight into this issue that motivates our future research.

Citation

Rosli Razak, T. R., Garibaldi, J. M., Wagner, C., Pourabdollah, A., & Soria, D. (2018, November). Interpretability and Complexity of Design in the Creation of Fuzzy Logic Systems — A User Study. Presented at 2018 IEEE Symposium Series on Computational Intelligence (SSCI), Bangalore, India

• Presentation Conference Type: Edited Proceedings
• Conference Name: 2018 IEEE Symposium Series on Computational Intelligence (SSCI)
• Start Date: Nov 18, 2018
• End Date: Nov 21, 2018
• Acceptance Date: Sep 1, 2018
• Online Publication Date: Jan 31, 2019
• Publication Date: Nov 18, 2018
• Deposit Date: Oct 8, 2018
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Pages: 420-426
• Series Title: Symposium Series on Computational Intelligence (IEEE-SSCI 2018)
• Book Title: Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence (IEEE-SSCI 2018)
• ISBN: 978-1-5386-9277-6
• DOI: https://doi.org/10.1109/ssci.2018.8628924
• Keywords: Fuzzy Logic Systems, Interpretability, Complexity of design, User study
• Public URL: https://nottingham-repository.worktribe.com/output/1151011
• Publisher URL: https://ieeexplore.ieee.org/document/8628924
• Related Public URLs: http://ieee-ssci2018.org/
• Additional Information: © 2018 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.