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Dataset Information

A comparative analysis of the principal component analysis and entropy weight methods to establish the indexing measurement.


ABSTRACT:

Background

As the world's largest coal producer, China was accounted for about 46% of global coal production. Among present coal mining risks, methane gas (called gas in this paper) explosion or ignition in an underground mine remains ever-present. Although many techniques have been used, gas accidents associated with the complex elements of underground gassy mines need more robust monitoring or warning systems to identify risks. This paper aimed to determine which single method between the PCA and Entropy methods better establishes a responsive weighted indexing measurement to improve coal mining safety.

Methods

Qualitative and quantitative mixed research methodologies were adopted for this research, including analysis of two case studies, correlation analysis, and comparat

SUBMITTER: Wu RMX 

PROVIDER: S-EPMC8802816 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature