Algorithm for analyzing the consistency of expert estimates of the parameters of the hardware and software complex of the automated workplace

System analysis, control and data processing


Аuthors

Philatov V. I.*, Borukaeva A. O.**, Berdikov P. G.***

Bauman Moscow State Technical University, MSTU, 5, 2-nd Baumanskaya, Moscow, 105005, Russia

*e-mail: vfil10@mail.ru
**e-mail: alexbmstu.b@yandex.ru
***e-mail: palber96@gmail.com

Abstract

This article tackles the issue of discordance of opinions of the experts and suggests a technique for the degree of compliance rate estimation. The concept of compliance estimation basis, namely, concord was considered. The algorithm for the experts’ opinions compliance analysis is described. The analysis on experts’ compliance estimation methods selection depending on quantitative and qualitative measuring scales usage, and measure of the degree of compliance was performed. The problem where

The problem in which there are many software and hardware workstations for aircrafts, having the same set of properties and properties in respect of each match quantitative evaluation experts group. The results of evaluations are presented in the form of a matrix. Described mathematical formalism concordance calculation coefficient – consent coefficient. It carries out a check of the algorithm as part of the expert survey, which resulted in peer reviews for all hardware and software complex of automated workplaces characteristics were obtained. These expert evaluations (expert group, consisting of 13 experts in the field of information systems) were tabulated. Using the data obtained was conducted analysis of variance in order study the characteristics of hardware and software of computer workstations. Created schematic block diagram describing the steps of parameters expert estimates the coherence algorithm APM compound hardware and software systems for aircraft. Calculated variance estimate and the concordance index (degree of coherence of software and hardware parameters workstations ratings people). As a result, estimated coefficient of concordance and relevance given the inequality which proves the validity of a good engine algorithms and to assess the consistency of expert APM AIC parameter estimates Connection program for aircraft.

The proposed method in this paper analyzes the consistency of expert opinion for all the characteristics of software and hardware of computer workstations is a hot topic that needs to be considered in the development of hardware and software for unmanned aerial vehicles.

Keywords:

workstation hardware and software package, the consistency of expert opinion, concordance, expectation, variance, random variable dispersion coefficient of concordance (agreement rate), a measure of consistency

References

  1. Lipova T.M. LXIX studencheskaya mezhdunarodnaya nauchno-prakticheskaya konferentsiya “Nauchnoe soobshchestvo studentov XXI stoletiya. Tekhnicheskie nauki”, Sbornik statei № 9 (68), (Novosibirsk, September 2018), Novosibirsk, SibAK, 2018. pp. 33 – 39, available at: https://sibac.info/archive/technic/9(68).pdf

  2. Torshin D.V., Korolev V.S. XLIV Mezhdunarodnaya molodezhnaya nauchnaya konferentsiya “Gagarinskie chteniya – 2018”. Tezisy dokladov. (Moscow, 17-20 April 2018), Moscow, Izd-vo MAI, 2018, pp. 25 – 26.

  3. Ivchenko G.I., Medvedev Yu.I. Vvedenie v matematicheskuyu statistiku (Introduction to mathematical statistics), Moscow, Izd-vo LKI, 2010, 600 p.

  4. Lagutin M.B. Naglyadnaya matematicheskaya statistika (Visual mathematical statistics), Moscow, BINOM. Laboratoriya znanii, 2009, 472 p.

  5. Kobzar’ A.I. Prikladnaya matematicheskaya statistika (Applied mathematical statistics), Moscow, FIZMATLIT, 2006, 816 p.

  6. Gurakov M.A., Krivonosov E.O., Kostyuchenko E.Yu. Trudy MAI, 2016, no. 86, available at: http://trudymai.ru/eng/published.php?ID=67851

  7. Orlov A.I. Teoriya prinyatiya reshenii (Decision theory), Moscow, Izd-vo Ekzamen, 2005, 656.

  8. Pechinkin A.V., Teskin O.I., Tsvetkova G.M. et al. Teoriya veroyatnostei (Law of probability), Moscow, Izd-vo MGTU im. N.E. Baumana, 2004, 456 p.

  9. Gmurman V.E. Teoriya veroyatnostei i matematicheskaya statistika (Law of probability and mathematical statistics), Moscow, Vysshaya shkola, 2003, 479 p.

  10. Kordover K.A., Zhdanov A.A., Danilov A.M. Trudy MAI, 2013, no. 65, available at: http://trudymai.ru/eng/published.php?ID=35985

  11. Goryainov V.B., Pavlov I.V., Tsvetkova G.M., Teskin O.I. Matematicheskaya statistika (Mathematical statistics), Moscow, Izd-vo MGTU im. N.E. Baumana, 2001, 424 p.

  12. Volkov I.K., Zagoruiko E.A. Issledovanie operatsii (Operations Research), Moscow, Izd-vo MGTU im. N.E. Baumana, 2000, 436 p.

  13. Venttsel’ E.S. Issledovanie operatsii (Operations research), Moscow, Sovetskoe radio, 1972, 552 p.

  14. Korotkova T.I. Trudy MAI, 2015, no. 84, available at: http://trudymai.ru/eng/published.php?ID=63279

  15. Volkov I.K., Zuev S.M., Tsvetkova G.M. Sluchainye protsessy (Random processes), Moscow, Izd-vo MGTU im. N.E. Baumana, 1999, 448 p.

  16. Panin S.D. Teoriya prinyatiya reshenii i raspoznavaniya obrazov (Theory of decision – making and pattern recognition), Moscow, Izd-vo MGTU im. N.E. Baumana, 2017, 239 p.

  17. Greshilov A.A. Matematicheskie metody prinyatiya reshenii (Mathematical methods of decision-making), Moscow, Izd-vo MGTU im. N.E. Baumana, 2006, 584 p.

  18. Venttsel’ E.S. Teoriya veroyatnostei i ee inzhenernye prilozheniya (Law of probability and its engineering applications), Moscow, Vysshaya shkola, 2000, 480 p.

  19. Shaporev S.D. Prikladnaya statistika (Applied statistics), Saint Petersburg, Baltiiskii gosudarstvennyi tekhnicheskii universitet “Voenmekh”, 2003, 254 p.

  20. Akimov E.V., Kuznetsov M.N. Trudy MAI, 2010, no. 40, available at: http://trudymai.ru/eng/published.php?ID=22873


Download

mai.ru — informational site MAI

Copyright © 2000-2019 by MAI

Вход