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This article is cited in 1 scientific paper (total in 1 paper)
Methods of Information Processing and Management
Formalized Approaches to the Study of the Accuracy of Economic Systems Models
V. Burakova, V. F. Volkovb, S. A. Potryasaeva, V. I. Salukhova, N. A. Shedkoc a St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences (SPIIRAS)
b Mozhaisky Military Space Academy
c Emperor Alexander I St. Petersburg State Transport University
Abstract:
In the article, we propose an approach to the creation of a method of optimal complexity through examples of economic and mathematical models that are most common at micro - and macro-levels. This method minimizes the total error for given duration of solving information and calculation tasks in the model studies of organizational-economic systems. In addition, this approach allows us to substantiate the requirements for the accuracy of input information. It is shown that to ensure the sustainable level of simulation accuracy, the authority (a model customer) needs to consider real relations of the accuracy of initial information, the structural accuracy of the model, the functional model accuracy and the accuracy of numerical algorithms.
Keywords:
initial information accuracy; optimal complexity; linearization method; computational error; procedural error; operation effectiveness.
Citation:
V. Burakov, V. F. Volkov, S. A. Potryasaev, V. I. Salukhov, N. A. Shedko, “Formalized Approaches to the Study of the Accuracy of Economic Systems Models”, Tr. SPIIRAN, 47 (2016), 192–210
Linking options:
https://www.mathnet.ru/eng/trspy898 https://www.mathnet.ru/eng/trspy/v47/p192
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Abstract page: | 101 | Full-text PDF : | 41 |
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