Skip to main content

Research Repository

Advanced Search

Interpretability indices for hierarchical fuzzy systems

Razak, T. R.; Garibaldi, J. M.; Wagner, C.; Pourabdollah, A.; Soria, D.

Authors

T. R. Razak

J. M. Garibaldi

A. Pourabdollah

D. Soria



Abstract

© 2017 IEEE. Hierarchical fuzzy systems (HFSs) have been shown to have the potential to improve interpretability of fuzzy logic systems (FLSs). In recent years, a variety of indices have been proposed to measure the interpretability of FLSs such as the Nauck index and Fuzzy index. However, interpretability indices associated with HFSs have not so far been discussed. The structure of HFSs, with multiple layers, subsystems, and varied topologies, is the main challenge in constructing interpretability indices for HFSs. Thus, the comparison of interpretability between FLSs and HFSs - even at the index level - is still subject to open discussion. This paper begins to address these challenges by introducing extensions to the FLS Nauck and Fuzzy interpretability indices for HFSs. Using the proposed indices, we explore the concept of interpretability in relation to the different structures in FLSs and HFSs. Initial experiments on benchmark datasets show that based on the proposed indices, HFSs with equivalent function to FLSs produce higher indices, i.e. are more interpretable than their corresponding FLSs.

Citation

Razak, T. R., Garibaldi, J. M., Wagner, C., Pourabdollah, A., & Soria, D. (2017). Interpretability indices for hierarchical fuzzy systems. In Proceedings of the 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). https://doi.org/10.1109/FUZZ-IEEE.2017.8015616

Conference Name IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017)
Start Date Jul 9, 2017
End Date Jul 12, 2017
Acceptance Date Mar 14, 2017
Online Publication Date Aug 24, 2017
Publication Date Aug 24, 2017
Deposit Date Apr 26, 2017
Publicly Available Date Aug 24, 2017
Journal Proceedings of the IEEE International Fuzzy Systems Conference
Electronic ISSN 1544-5615
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Series ISSN 1558-4739
Book Title Proceedings of the 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
ISBN 9781509060344
DOI https://doi.org/10.1109/FUZZ-IEEE.2017.8015616
Public URL http://eprints.nottingham.ac.uk/id/eprint/42290
Publisher URL http://ieeexplore.ieee.org/document/8015616/
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf
Additional Information Published in Proceedings of the IEEE International Fuzzy Systems Conference. IEEE, 2017. ISBN: 9781509060344. DOI: 10.1109/FUZZ-IEEE.2017.8015616

Files


Interpretability Indices for Hierarchical Fuzzy System - Author Copy.pdf (1.3 Mb)
PDF

Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





You might also like



Downloadable Citations