Toward a Framework for Capturing Interpretability of Hierarchical Fuzzy Systems—A Participatory Design Approach

Hierarchical fuzzy systems (HFSs) have been shown to the potential improve interpretability of logic (FLSs). However, challenges remain, such as “How can we measure their interpretability?” make an informed assessment how HFSs should be designed enhance The consist measuring include issues topological structure, number layers, meaning intermediate variables, and so on. In this article, initial framework is proposed, combined with a participatory user design process create specific instance for application context. This approach enables subjective views range practitioners, experts in creation FLSs, taken into account shaping generic HFSs. are demonstrated through two classification examples, showing ability resulting index appropriately capture perceived by system experts.