Data Preprocessing and Priorities Values Computing of Requests on Performing Communication Sessions with Spacecraft of Scientific and Socioeconomic Implication


Аuthors

Sokhranniy E. P.

Central Research Institute of Machine Building, TSNIIMash, 4, Pionerskaya str., Korolev, Moscow region, 141070, Russia

e-mail: sep@mcc.rsa.ru

Abstract

The article covers the final stages of addressing the problem of requests prioritizing for communication sessions performing with scientific and socioeconomic spacecraft, on which the solving methods for main areas of concern on conflicts arising from the engagement of the spacecraft ground control equipment, substantiated in [1], are realized. The initial information for data preprocessing for priority values computing are expert data in the form of Hierarchic Structure (HS) and Relational Matrix (RM), transformed into Comparison Matrices (CM), reflecting the results of qualitative expert estimates scaling into quantitative ones. The order of HS, RM and CM generation is specified in referenced documents [2] and [3].

To validate expert estimates scaling in the form of comparison matrices the last ones are being checked for conformance from the viewpoint of each expert judgments and opinions of the group of experts.

Generalized values computing of HS elements weight factors and requests priorities values for spacecraft communication sessions is performed based on the expert-specified consistent private data on the criticality of factors represented in the form of HS and affecting the conflicts solving procedure.

The developed formal models will allow for complete automation of the request prioritizing process for spacecraft communication sessions, as well as enhance the decision-making promptness and validity of the decisions made to resolve conflict situations.

Keywords:

means engagement conflict, communication session request priority, expert estimates hierarchic structure, decision-making promptness and validity

References

  1. Sokhrannyi E.P. Trudy MAI, no. 108, available at: http://trudymai.ru/eng/published.php?ID=109228

  2. Voronovskii V.V., Dudko A.N., Matyushin M.M., Sokhrannyi E.P., Sokhrannaya A.E., Usikov S.B. Kosmonavtika i raketostroenie, 2018, no. 1 (100), pp. 46 – 53.

  3. Sokhrannyi E.P. Lesnoi Vestnik, 2019, vol. 23, no. 4, pp. 98 - 105.

  4. Martsynkovskii D.A., Vladimirtsev A.V., Martsynkovskii O.A. Rukovodstvo po risk-menedzhmentu. Assotsiatsiya po sertifikatsii “Russkii Registr” (Guidelines on Risk Management. Certification Association “Russian Register”), Saint Petersburg, Beresta, 2007, 330 p.

  5. Saati T. Prinyatie reshenii. Metod analiza ierarkhii (Decision Making. Hierarchy analysis method), Moscow, Radio i svyaz', 1993, 320 p.

  6. Lazarev A.A. Issledovaniya po prikladnoi matematike, 1984, no. 10, pp. 102 - 110.

  7. Gurin L.S., Dymarskii Ya.S., Merkulov A.D. Zadachi i metody optimal'nogo raspredeleniya resursov (Tasks and methods of optimal source allocation), Moscow, Sovetskoe radio, 1968, 463 p.

  8. Kofman A., Kryuon R. Massovoe obsluzhivanie. Teoriya i prilozhenie (Mass service. Theory and Applications), Moscow, Mir, 1965, 302 p.

  9. Dudko A.N., Kucherov B.A., Litvinenko A.O., Sokhrannyi E.P. Kosmonavtika i raketostroenie, 2014, no. 1 (74), pp. 155 - 163.

  10. Dudko A.N., Kucherov B.A., Litvinenko A.O., Sokhrannyi E.P. Kosmonavtika i raketostroenie, 2016, no. 1 (86), pp. 103 - 109.

  11. Litvinenko A.O. Trudy MAI, 2016, no. 86, available at: http://trudymai.ru/eng/published.php?ID=67829

  12. Kolpin M.A., Protsenko P.A., Slashchev A.V. Trudy MAI, 2017, no. 92, available at: http://trudymai.ru/eng/published.php?ID=77144

  13. Park Dzin-Soo. Patent RU 2175464 S1, 27.10.2001.

  14. Sammur Mokhammed. Patent RU 2476026 S2, 20.02.2013.

  15. Zaitsev A.V. Patent RU 2491611 S2, 27.08.2013.

  16. Gantmakher F.R. Teoriya matrits (Theory of matrices), Moscow, Fizmatlit, 2004, 560 p.

  17. Katsman V.E., Kosorukova I.V., Rodin A.Yu., Kharitonov S.V. Osnovy otsenochnoi deyatel'nosti (Fundamentals of Evaluation Activities), Moscow, Sinergiya, 2012, 336 p.

  18. Voronovskii V.V., Dudko A.N., Pazdnikov V.Yu., Sokhrannyi E.P., Usikov S.B. Kosmonavtika i raketostroenie, 2017, no. 1 (94), pp. 46 - 53.

  19. Sarkisyan S.A. Teoriya prognozirovaniya i prinyatiya reshenii (Forecasting and decision-making theory), Moscow, Vysshaya shkola, 1977, 351 p.

  20. Maurice G. Kendall. Rank Correlation Methods, New York, Hafner Publishing Co, 1955, 196 p.

  21. Ferster E., Rents B. Metody korrelyatsionnogo i regressivnogo analiza (Methods of Correlation and Regression Analysis. Guidelines for Economists), Moscow, Finansy i statistika, 1983, 304 p.

  22. Margolin E.M. Poligrafiya, 2006, no. 5, pp. 14 - 16.

  23. Grigan A.M. Upravlencheskaya diagnostika: teoriya i praktika (Management Diagnostics: Theory and Applications), Rostov-na-Donu, RSEI, 2009, 316 p.

  24. Denisova A.L., Zaitsev E.V. Teoriya i praktika ekspertnoi otsenki tovarov i uslug (Theory and practice of goods and services peer review), Tambov, Tambovskii gosudarstvennyi tekhnicheskii universitet, 2002, 72 p.

  25. Kassandrova O.N., Lebedev V.V. Obrabotka rezul'tatov nablyudenii (Observation Results Processing), Moscow, Nauka, 1970, 194 p.

  26. Peters D., Khaies Dzh., Khift'e G. Khimicheskoe razdelenie i izmerenie (Chemical Separations and Measurements), Moscow, Khimiya, 1978, 816 p.

  27. Voronovskii V.V., Dudko A.N., Kulik M.S, Kucherov B.A., Litvinenko A.O., Pazdnikov V.Yu. et al. Patent 2659773 RF. MPK7 B 64 G 9/00, 03.07.18.


Download

mai.ru — informational site MAI

Copyright © 2000-2020 by MAI

Вход