A Novel Fuzzy Concept-Cognitive Learning Model With Attribute Fluctuation and Concept Clustering
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DOI: 10.1109/tfuzz.2025.3596960
Abstract: Concept-cognitive learning (CCL) is a paradigm that simulates human concept learning by processing given cues through specific cognitive models. However, existing CCL models face significant limitations, such as weak correlations between attributes and decisions, high… read more here.
Keywords: concept cognitive; attribute fluctuation; concept; model ... See more keywords