Fuzzy rough sets, and a granular neural network for unsupervised feature selection

DOI10.1016/j.neunet.2013.07.008zbMath1297.68222OpenAlexW2043105151WikidataQ44428910 ScholiaQ44428910MaRDI QIDQ460680

Shubhra Sankar Ray, Avatharam Ganivada, Sankar Kumar Pal

Publication date: 14 October 2014

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2013.07.008

zbMATH Keywords

granular computingfeature evaluationrough fuzzy computingrule-based layered network

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (7)

A Framework for Analysis of Granular Neural Networks ⋮ Recent fuzzy generalisations of rough sets theory: a systematic review and methodological critique of the literature ⋮ Unsupervised attribute reduction for mixed data based on fuzzy rough sets ⋮ Some Foundational Aspects of Rough Sets Rendering Its Wide Applicability ⋮ Three-way decision-based co-detection for outliers ⋮ A unified view of consistent functions ⋮ A new methodology for fuzzification of rough sets based on \(\alpha\)-indiscernibility

Uses Software

• UCI-ml

Cites Work

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• Refining classifiers with neural networks
• ROUGH FUZZY SETS AND FUZZY ROUGH SETS*
• Fuzzy Sets and Decisionmaking Approaches in Vowel and Speaker Recognition
• Feature selection with neural networks

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