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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Vydané v:	IEEE transactions on fuzzy systems Ročník 32; číslo 6; s. 3581 - 3593
Hlavní autori:	Ding, Yi, Xu, Weihua, Ding, Weiping, Qian, Yuhua
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.06.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
On-line prístup:	Získať plný text
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