Information Entropy Multi-Decision Attribute Reduction Fuzzy Rough Set for Dust Particulate Imagery Characteristic Extraction

Information Entropy Multi-Decision Attribute Reduction Fuzzy Rough Set for Dust Particulate Imagery Characteristic Extraction

High-precision extraction of particulate characteristic modes is essential for dust explosion safety measurements, such as particulate concentration and size distribution. A new solution based on information entropy multi-decision attribute reduction fuzzy rough set is proposed to analyse the partic...

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Bibliographic Details
Main Authors: Zheng Wang, Xu Zheng, Hongguang Pan, Dongyan Li
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Fuzzy membership
image grey feature
information entropy
multi-attribute reduction
Online Access:https://ieeexplore.ieee.org/document/9076628/

Internet

https://ieeexplore.ieee.org/document/9076628/

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