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Comparative Assessment of the Transport Systems of the Regions Using Fuzzy Modeling

  • Taras BogachevEmail author
  • Tamara Alekseychik
  • Viktor Bogachev
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 896)

Abstract

A complex study of the state of the main transport systems of the subjects of the Southern Federal Region of the Russian Federation was carried out using fuzzy modeling. The information base for the study was the annual data on the main indicators of the characteristics of vehicles in the region for 2010–2016. The investigated indicators were considered in the form of relative indicators as a quotient of the division of their values into the sizes of the areas of the relevant subjects of the region. Then, estimates of the values of the indicators for 2016 were constructed as expected or desired in comparison with the largest values of the corresponding indicators per unit area of the subjects. Using the corresponding weight coefficients of the indicators and their expected estimates, fuzzy sets for the investigated indicators of each region’s subject were determined. In order to identify the best subject of the region in terms of the state of the transport system in 2016, the maximin convolution method is applied. The received estimations have allowed to rank subjects of the region on a level of development of their transport systems. Also the analysis of transport systems of subjects and in the whole region is carried out taking into account the positive and negative dynamics of indicators based on their growth rates. The results of this analysis create the possibility of developing a strategy for the development of the region’s transport system.

Keywords

Fuzzy set theory Maximin convolution method Analysis of transportation systems Complex valuation 

Notes

Acknowledgements

The research is conducted with a support of the Russian Foundation for Basic Research (#17-20-04236 ofi_m_RJD).

References

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Taras Bogachev
    • 1
  • Tamara Alekseychik
    • 1
  • Viktor Bogachev
    • 2
  1. 1.Rostov State University of EconomicsRostov-on-DonRussia
  2. 2.Rostov State Transport University (RSTU)Rostov-on-DonRussia

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