Ensuring Freight Delivery in Conditions of Uncertainty

Authors

DOI:

https://doi.org/10.18372/1990-5548.68.16096

Keywords:

transport system, freight company, entropy, transport task, intelligent technology

Abstract

The article discusses the issue of ensuring the delivery of goods in conditions of uncertainty, designed to predict the time of the transport task. The initial information for training the model is the carrier's data on the expected average time to complete the task. The analysis uses the entropy method. The analysis of the obtained results has been carried out. The results show that the use of the entropy method allows us to investigate its sensitivity to changes in the value of preferences. In the work on the application of entropy, three criteria are used: entropy should be minimal for well-defined quantities, be maximal for equiprobable quantities, and universal – applicable for both finite and infinite, discrete and continuous distributions. When changing the values of the parameters, we used cross entropy and quadratic entropy and, as a result, we obtained an estimate of uncertain variables that can be used to solve the transport problem under uncertainty.

Author Biographies

Dmytro Shevchuk , National Aviation University, Kyiv

Doctor of Engineering Science. Head of the Air Transportation Management Department. Professor

Volodymyr Kasianov, National Aviation University, Kyiv

Doctor of Engineering Science. Professor.

Honored Professor of the National Aviation University

Yuliya Shevchenko, National Aviation University, Kyiv

PhD in Economics. Associate Professor

References

A. A. Zhdanovsky, V. A. Shapovalov, G. A. Melnik, D. M. Zhirov, M. S. Prikhodko, and L.G. Odintsova, “Investigation of plasma-slag processes in special and ladle electrometallurgy of steel,” Modern electrometallurgy. no. 1 (90), pp. 17–23, 2008.

I.M. Makarov, Novoe v sinergetike. Zagadki mira neravnovesnykh struktur, [New in synergy. Mysteries of the world of nonequilibrium structures]. Moscow: Nauka, 1996, 263 p. [in Russian]

D. Middleton, Introduction to the statistical theory of communication; New York, Toronto, and London: McGraw Hill, 1960, 1140 p.

O. L. Korolev and M. Yu. Kussy, “Comparative Characteristics of Economy’s Social Attributes of the System Levels of Hierarchy from the Standpoint of Economic and Mathematical Modeling,” Journal of Volgograd. State University. Economics, 2019, vol. 21, no. 4, pp. 22–35. [in Russian]. https://doi.org/10.15688/ek.jvolsu.2019.4.3

Ilya Prigogine, (2002). Advances in Chemical Physics. New York: Wiley InterScience. ISBN 978-0-471-26431-6. Archived from the original on 17 December 2012. Retrieved 29 July 2008.

G. Haken, Synergetics; Naturwissenschaften, vol. 67, pp. 121–128, 1980.

V. I. Ivanenko and V. Lobkovsky, The problem of uncertainty in decision-making problems. Kyiv: Naukova Dumka, 1990, 136 p.

A. P. Levich and A. V. Solov'yov, “Cetegory-funcor modeling of natural systems,” Cybernetics and Systems, vol. 30, no.6, pp. 571–585, 1999.

R. L. Stratonovich, Izvest. VUZ Radiofiz., 8, 1965, pp. 116–141.

Ingo Müller and Wolf Weiss, Entropy and Energy: A Universal Competition (Interaction of Mechanics and Mathematics) ISBN 10: 3540242813 ISBN 13: 9783540242819 Publisher: Springer, 2005

V. Kasianov, Subjective entropy of preferences. Subjective analysis: monograph, Warsaw, Poland: Institute of aviation, 2013, 644 p.

V. A. Kasianov, Subjective analysis: monograph, Kyiv: NAU, 2007, 512 p.

V. A. Kasyanov, Elements of subjective analysis: monograph, Kyiv: NAU, 2003, 224 p.

Leon Brillouin, Science and Information Theory: Second Edition (Dover Books on Physics) Second Edition ISBN-13: 978-0486497556 ISBN-10: 0486497550

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Published

2021-10-20

Issue

Vol. 2 No. 68 (2021)

Section

AVIATION TRANSPORT

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