The paper formalises this idea by introducing the concept of semantically decouplable hierarchies. Under the assumption of semantic decouplability, it is shown ...
The paper formalises this idea by introducing the concept of semantically decouplable hierarchies. Under the assumption of semantic decouplability, it is shown ...
The paper formalises this idea by introducing the concept of semantically decouplable hierarchies. Under the assumption of semantic decouplability, it is shown ...
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The paper formalises this idea by introducing the concept of semantically decouplable hierarchies. Under the assumption of semantic decouplability, it is shown ...
Semantic interpretability in hierarchical fuzzy systems: Creating semantically decouplable hierarchies. Abstract. Analysing the interpretability of a fuzzy ...
The findings suggested that the HFS has advantages over. FLS towards improving the interpretability models, in the context of a recommendation system example.
... fuzzy systems. Wiley, Chichester. Magdalena L (2019) Semantic interpretability in hierarchical fuzzy systems: creating semantically decouplable hierarchies.
The existing approaches to interpretability in data-driven fuzzy models are reliant, heavily, on constraining different components of the model, ...
May 5, 2021 · Abstract—Hierarchical fuzzy systems (HFSs) have been shown to have the potential to improve the interpretability of fuzzy logic.
Apr 18, 2024 · However, traditional FLS has limitations in handling complex and hierarchical structures due to their lack of scalability and interpretability.