IFCRL: Interval-Intent Fuzzy Concept Re-Cognition Learning Model

The fuzzy concept serves as a crucial tool for describing phenomena and constitutes the fundamental unit of human cognition. Fuzzy concepts are characterized by their extent and intent, with the latter being comprised of continuous membership degrees. Given that human cognition often progresses from...

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Veröffentlicht in:	IEEE transactions on fuzzy systems Jg. 32; H. 6; S. 3581 - 3593
Hauptverfasser:	Ding, Yi, Xu, Weihua, Ding, Weiping, Qian, Yuhua
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.06.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Classification Classification algorithms Clustering Cognition Cognition & reasoning Computational modeling Concept clustering concept-cognitive learning Context modeling Fuzzy systems Granular computing interval-intent Learning Mathematical models object classification Stochastic processes
ISSN:	1063-6706, 1941-0034
Online-Zugang:	Volltext
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