Multi-granularity Intelligent Information Processing

DOI10.1007/978-3-319-25783-9_4zbMath1444.68248OpenAlexW2399040143MaRDI QIDQ3300254

Yuchao Liu, Ji Xu, Qing-Hua Zhang, Guo-Yin Wang

Publication date: 28 July 2020

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-25783-9_4

zbMATH Keywords

rough setsfuzzy setshierarchical clusteringmulti-granularitydeep learningquotient spacecloud modeldensity peaks

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Uses Software

• ANFIS
• DeepFace

Cites Work

• Unnamed Item
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• Is there a need for fuzzy logic?
• Granularity hierarchies
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• MGRS: a multi-granulation rough set
• Algebraic properties and topological properties of the quotient space of fuzzy numbers based on Mareš equivalence relation
• Fuzzy reasoning model under quotient space structure
• A new method for measuring uncertainty and fuzziness in rough set theory
• Rough sets
• From computing with numbers to computing with words. From manipulation of measurements to manipulation of perceptions
• MEASURING UNCERTAINTY IN ROUGH SET THEORY
• Transactions on Rough Sets I
• Artificial Intelligence with Uncertainty
• Fuzzy sets

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