DOI: 10.18503/1995-2732-2022-20-4-83-94
Abstract
In the current conditions of digital transformation, a role of standards increases significantly. Standards precede innovations and become the basis for their introduction. A current pool of national standards includes over 30,000 documents. However, how is it possible to estimate the amount of this information more definitely? The authors propose a method for estimating the amount of information contained in the standards using the example of standards related to non-ferrous metallurgy group 77.120 in accordance with the All-Russian Classifier of Standards. The amount of information was determined using the introduced value of “the estimated amount of information in the standard” based on a representative sample of standards from group 77.120. The study used a stratified sample, where the parent population was divided into homogeneous parts (strata) according to a certain attribute, and then systematic or simple random sampling was performed. An indicator of the stratification of the database under study was taken as nine subgroups of group 77.120: 77.120.01, 77.120.10, 77.120.20. 77.120.30, 77.120.40, 77.120.50, 77.120.60, 77.120.70, 77.120.99, as well as six time intervals for the adoption of the existing standards: 1970-1979; 1980-1989, 1990-1999, 2000-2009, 2010-2019, 2020-2022. The sample size was 155 standards or 20% of the entire base of standards of group 77.120. The study revealed that for the 1970-1979 and 1980-1989 time intervals the estimated amount of information was 6-8% less than the number of current standards adopted within the specified time intervals. The reverse is true for 2010-2019: the estimated amount of information in this period is by approximately 12% higher than the number of standards. The data obtained for individual subgroups and time intervals allow us to conclude that, as a rule, the standards adopted after 2010 have a much larger estimated amount of information.
Keywords
information, amount of information, standard, symbol, information cardinality, classification group, classification subgroups, time interval
For citation
Kazantseva T.V., Kazantseva N.K., Polyakova M.A., Pidzhakova E.N., Aleksandrov V.A. Applying an Alphabeti-cal Approach to Determinethe Amount of Information Contained in Standards. Vestnik Magnitogorskogo Gosudar-stvennogo Tekhnicheskogo Universiteta im. G.I. Nosova [Vestnik of Nosov Magnitogorsk State Technical University]. 2022, vol. 20, no. 4, pp. 83-94. https://doi.org/10.18503/1995-2732-2022-20-4-83-94
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