On the application of methods of correlation-regression analysis and fuzzy logic in the analysis of industrial injury rates

The paper discusses the results of applying the methods of correlation-regression analysis and fuzzy logic for analyzing the statistical information of industrial injury rates in the Udmurt Republic, and shows the stages of modeling. Correlation-regression analysis was carried out using the MS Offic...

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Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2020-11, Vol.962 (4), p.42037
Main Authors: Sevastyanov, B V, Shadrin, R O, Lisin, V A
Format: Article
Language:English
Subjects:
Algorithms
Data analysis
Economic conditions
Fuzzy logic
Injuries
Injury analysis
Regression analysis
Statistical analysis
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Summary:The paper discusses the results of applying the methods of correlation-regression analysis and fuzzy logic for analyzing the statistical information of industrial injury rates in the Udmurt Republic, and shows the stages of modeling. Correlation-regression analysis was carried out using the MS Office Excel "Data Analysis" package; processing by the Mamdani algorithm (fuzzy logic) was carried out in the Mathlab environment. For the number of workers injured with further disability per 1 working day or more and fatal outcome in the Udmurt Republic, the results of using both methods are shown. Recommendations are given on the application of a particular method in the practical activities of managing the labor protection of organizations as a whole, by type of economic activity or constituent entity of the federation. Recommendations are provided, the implementation of which will improve the accuracy and efficiency of the analysis of industrial injuries by the considered methods.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/962/4/042037