Expert assessment for the formation of stochastic matrices of aircrew behavior

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Abstract

The article presents a methodology for expert evaluation in the development of a mathematical simulation model of aircrew operations. The proposed approach enables the transformation of the target time vector representing sojourn times in the states of a Markov chain, thereby improving the accuracy of transition probability matrix optimization. The methodology accounts for the relative complexity and duration of each phase of the operational scenario, as defined in the flight operations manual.

General Information

Keywords: simulation modeling, aircrew activity model, Markov chains, expert evaluation

Journal rubric: Mathematical Modelling

Article type: scientific article

DOI: https://doi.org/10.17759/mda.2025150107

Received: 19.02.2025

Accepted:

For citation: Orishchenko V.A. Expert assessment for the formation of stochastic matrices of aircrew behavior. Modelirovanie i analiz dannikh = Modelling and Data Analysis, 2025. Vol. 15, no. 1, pp. 133–144. DOI: 10.17759/mda.2025150107. (In Russ., аbstr. in Engl.)

References

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Information About the Authors

Vitaly A. Orishchenko, student, Moscow State University of Psychology and Education, Moscow, Russian Federation, ORCID: https://orcid.org/0009-0003-6696-5147, e-mail: vitalyorischenko@gmail.com

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