A Comprehensive Guideline to Design Interpretable Hierarchical Fuzzy Systems

Hierarchical fuzzy systems (HFSs) are claimed to be an excellent approach to reducing the number of rules in Fuzzy logic systems (FLSs). Further, HFSs have also been shown to have the potential to reduce complexity and improve interpretability for FLSs. However, designing an interpretable HFS is a c...

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Bibliographic Details
Main Authors: Razak, Tajul Rosli, Garibaldi, Jonathan M., Wagner, Christian
Format: Conference Proceeding
Language:English
Subjects:
Complexity theory
Design methodology
Fuzzy logic
Fuzzy Logic System
Hafnium
Hierarchical Fuzzy Systems
Interpretability
Iris
Practical guideline
Semantics
Topology
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Summary:Hierarchical fuzzy systems (HFSs) are claimed to be an excellent approach to reducing the number of rules in Fuzzy logic systems (FLSs). Further, HFSs have also been shown to have the potential to reduce complexity and improve interpretability for FLSs. However, designing an interpretable HFS is a challenging task. This is due to the HFSs' structures, which have multiple subsystems, layers and topologies. This paper put forward an approach to present a design guidelines framework to build interpretable HFSs. The framework consists of five key guidelines for interpretable HFSs. It is demonstrated using a real-world example to design interpretable HFS for the Iris classification problem. This study contributes to providing insight into a pathway for designing interpretable HFSs, as can be used in practice.
ISSN:1558-4739
DOI:10.1109/FUZZ-IEEE60900.2024.10612113