ЛИНГВИСТИЧЕСКОЕ НОРМИРОВАНИЕ УРОВНЕЙ ДЕЯТЕЛЬНОСТИ ПРОМЫШЛЕННЫХ КОМПАНИЙ

Abstract

The authors of this article propose to consider the development of a methodology for normalizing the key activity levels of industrial enterprises based on linguistic normalization of factors by methods of fuzzy sets theory. The method is based on annual reporting of 86 of the world's largest industrial enterprises concentrated in 5 industry classes. 12 business activity factors are analyzed. The reporting is collected for the period of 20152018. For each business activity factor, over 300 measurements are collected, which are acceptable for generalization within the framework of statistical histograms. Processing such histograms allows us to form a scale of linguistic norms from five qualitative gradations for each factor in the assessment. Building systems of linguistic gradations for 5 industry classes and collected standards allow a new assessment of the complex properties of enterprises: economic resilience, competitiveness, financial viability. A computational example of assessing the economic resilience of the ABC electrical company is considered. In the time period, statistics tend to become obsolete, so it is necessary to develop a methodology for excluding irrelevant measurements from the statistical base. The authors' research is addressed to industrial enterprises of a wide spectrum that would like to correlate their own performance indicators with group results of leading world companies.