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Proceedings 2017, 1(3), 214; doi:10.3390/IS4SI-2017-04034

Novel Approach: Information Quantity for Calculating Uncertainty of Mathematical Model

Independent Mechanical & Refrigeration Consultation Expert, 8464209 Beer-Sheba, Israel
Presented at the IS4SI 2017 Summit DIGITALISATION FOR A SUSTAINABLE SOCIETY, Gothenburg, Sweden, 12–16 June 2017.
Published: 9 June 2017
Download PDF [690 KB, uploaded 27 July 2017]

Abstract

Evaluation of the chosen mathematical model of a physical system (phenomena) is considered within the framework of thermodynamic theory and Mark Burgin’s general theory of information. The finiteness of the model cased by the limited number of chosen variables and the need to use the International system of units cause the existing of the a-priori uncertainty of a physical-mathematical model. The proposed formula for calculation of this uncertainty provides its value comparison with the actual experimental measurement uncertainty. Examples of practical application in the framework of the considered concept are introduced regarding analysis of the Boltzmann constant and gravitational constant measurements.
Keywords: computer modelling; planning of experiment; system of primary variables; theory of information; theory of similarity; uncertainty of physical-mathematical model computer modelling; planning of experiment; system of primary variables; theory of information; theory of similarity; uncertainty of physical-mathematical model
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Menin, B. Novel Approach: Information Quantity for Calculating Uncertainty of Mathematical Model. Proceedings 2017, 1, 214.

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