Open AccessOn the application of methods of correlation-regression analysis and fuzzy logic in the analysis of industrial injury rates
Author(s) -
B. V. Sevastyanov,
R. O. Shadrin,
В. А. Лисин
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/962/4/042037
Subject(s) - fuzzy logic , regression analysis , computer science , regression , correlation , statistics , statistical analysis , data mining , econometrics , operations research , artificial intelligence , machine learning , mathematics , geometry
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.