Management in conditions of uncertainty

ПОДЕЛИТЬСЯ С ДРУЗЬЯМИ
Авторы


Professor, Doctor of Technical Sciences, General Director, Academician of the Academy of Transport, Academician of the International Academy of Sciences of Eurasia
Russia, Research and design institute of informatization, automation and communication at the railway transport
ig.rozenb2012@yandex.ru

Аннотация

The article describes the application of gray relational analysis methods for management under uncertainty. The article describes the information situation for white and gray analysis. Gray spatial analysis uses the information situation as the main object of analysis. Quantitative methods of analysis use interval, triangular and trapezoidal numbers in addition to point numbers. Gray spatial analysis is close to the theory of fuzzy sets and complements this theory. Gray analysis allows the possibility of changing the goal and a variety of management criteria. This distinguishes the gray analysis from the theory of fuzzy sets.

Ключевые слова

Management, uncertainty, management tasks, multipurpose management, multiplicity of decisions, situational modeling, situational management, information situations, multicriterial

Print Friendly, PDF & Email

Категории статьи:

Read also

Статья также доступна (this article also available):

Рекомендуемая ссылка

Rozenberg Igor' Naumovich
Management in conditions of uncertainty// Современные технологии управления. ISSN 2226-9339. – #7 (79). Номер статьи: 7902. Дата публикации: . Режим доступа: http://sovman.ru/en/article/7902/

Full article text is available only in Russian.
Please select from the menu Russian language and continue reading.


Библиографический список

  1. Demidova L. A., Kirakovskij V. V., Pyl’kin A. N.  Decision-making under uncertainty [Prinjatie reshenij v uslovijah neopredelennosti]. – Moscow: Hot line – Telecom, 2015. – 283 p.
  2. Rozenberg I.N., Starostina T.A. Solution of allocation problems with fuzzy data using geoinformation systems [Reshenie zadach razmeshhenija s nechetkimi dannymi s ispol’zovaniem geoinformacionnyh sistem]. – M. Scientific world, 2006. – 208s
  3. Bozhenjuk A.V., Gerasimenko E.M., Rozenberg I.N. Determination of the minimum value flow in a fuzzy dynamic graph. [Opredelenie potoka minimal’noj stoimosti v nechetkom dinamicheskom grafe]// Izvestiya SFU. Technical science. -2013. -No 5 (142). -C. 149-154
  4. Bozhenjuk A.V., Rozenberg I.N. The method of locating service centers on interval graphs [Metod razmeshhenija centrov obsluzhivanija na interval’nyh grafah] // Proceedings of TSURE. – 2006, – No. 9 (64). – p.141-145.
  5. Feng, L. (1997). Research on the Identification Coefficient of Relational Grade for Grey System [J].Systems Engineering—Theory & Practice,6
  6. Chan WK and Tong TKL, (2007), Multi-criteria material selections and end-of-life product strategy: Grey relational analysis approach, Materials & Design, Volume 28, Issue 5, Pages 1539-1546.
  7. Cvetkov V.Ja. Gray relational analysis [Seryj reljacionnyj analiz]// International Journal of Applied and Fundamental Research. – 2016. – No. 12-1. – p166-166.
  8. Liu G., Yu J. Gray correlation analysis and prediction models of living refuse generation in Shanghai city //Waste Management. – 2007. – Т. 27. – №. 3. – С. 345-351
  9. Yufeng G., Jing W., Zidian H. Gray correlation analysis on influencing factors of postgraduates’ innovative capacity //Journal of Theoretical and Applied Information Technology. – 2013. – V. 49. – №. 1. – p.419-425.
  10. Tsvetkov V. Ya. Framework of Correlative Analysis // European researcher. Series A. 2012. № 6-1 (23). С. 839-844.
  11. Theil H. The information approach to demand analysis //Econometrica: Journal of the Econometric Society. – 1965. – р.67-87.
  12. Nejmark Ju. I., Strongin R. G. Information approach to the problem of finding the extremum of functions [Informacionnyj podhod k zadache poiska jekstremuma funkcij] // Izv. ANSSSR. Techn. cybernetics. – 1966. – No. 1. – P. 17-26.
  13. Cvetkov V.Ja., Kornakov A.N. Information approach in management [Informacionnyj podhod v upravlenii]// Successes of modern natural science. – 2010. – №3. – c.137-138.
  14. Cvetkov V.Ja. Information approach [Informacionnyj podhod]// International Journal of Applied and Fundamental Research. – 2016. – 4- 3. – p.645-645
  15. Shajtura S.V. Information situation in geoinformatics [Informacionnaja situacija v geoinformatike]// Educational resources and technologies. – 2016. – No. 5 (17). – p.103-108.
  16. Cvetkov V.Ja. Information models of objects, processes and situations [Informacionnye modeli ob#ektov, processov i situacij]// Remote and virtual training- 2014. – №5. – p.4-11
  17. Ozherel’eva T.A. Information situation as a management tool [Informacionnaja situacija kak instrument upravlenija]// Slavic Forum, 2016. -4 (14). – p.176-181
  18. Rozenberg I.N., Cvetkov V.Ja. Information situation [Informacionnaja situacija] // International Journal of Applied and Fundamental Research. – 2010. – 12. – p.126-127
  19. Pavlov A.I. Spatial information situation [Prostranstvennaja informacionnaja situacija]// Slavic Forum, 2016. -4 (14). – p.198-203
  20. Cvetkov V.Ja. Information Uncertainty and Certainty in the Sciences of Information [Informacionnaja neopredelennost’ i opredelennost’ v naukah ob informacii]// Information Technologies. – 2015. – №1. -c.3-7.
  21. Gorelova G.V., Zaharova E.N., Ginis L.A. Cognitive analysis and modeling of sustainable development of socio-economic systems [Kognitivnyj analiz i modelirovanie ustojchivogo razvitija social’no-jekonomicheskih sistem] – Rostov n / a: Izd-vo Rost. University, 2005. – 288 p.
  22. Nomokonov I.B. Cognitive methods in radiation diagnosis. Monograph [Kognitivnye metody pri luchevoj diagnostike] – Moscow: MAX Press, 2016. – 60s.
  23. Rozenberg I.N. Intellectual management [Intellektual’noe upravlenie]// Modern management technologies. 2017. -? 4 (76). – p.45-50.
  24. Cvetkov V. Ja. Situational modeling in geoinformatics [Situacionnoe modelirovanie v geoinformatike]/ / Information technology. – 2014. – №6. – p.64-69.
  25. Pospelov D. А. Situational Management: Theory and Practice //Мoscow: Nauka (in Russian). – 1986.
  26. Chapman S. L., Jeffrey D. B. Situational management, standard setting, and self-reward in a behavior modification weight loss program //Journal of consulting and clinical psychology. – 1978. – V.46. – №. 6. – p.1588.
  27. Mayer J. H., Winter R., Mohr T. Situational management support systems //Business & Information Systems Engineering. – 2012. – V. 4. – №. 6. – p.331-345.
  28. V. P. Savinykh and V. Ya. Tsvetkov. Geodata As a Systemic Information Resource. Herald of the Russian Academy of Sciences, 2014, Vol. 84, No. 5, pp. 365–368. DOI: 10.1134/S1019331614050049
  29. V. Ya. Tsvetkov. Information Relations // Modeling of Artificial Intelligence, 2015, Vol.(8), Is. 4. – р.252-260. DOI: 10.13187/mai.2015.8.252 www.ejournal11.com.
  30. Sigov AS, Tsvetkov V.Ya. Implicit knowledge: opposition logical analysis and typology [Implicit knowledge: oppositional logical analysis and typology]// Bulletin of the Russian Academy of Sciences, 2015, volume 85, No. 9, p.800-804. DOI: 10.7868 / S0869587315080319.
  31. Encyclopedia of Management http://www.enotes.com/management-encyclopedia/management-thought. Дата доступа 5.06.2017.
  32. 3 V. Ya. Tsvetkov. Multipurpose Management// European Journal of Economic Studies 2012, Vol.(2), № 2  р.140-143.
  33. Rozenberg I.N., Starostina T.A. Minimax task of placing service points in fuzzy conditions [Minimaksnaja zadacha razmeshhenija obsluzhivajushhih punktov v nechetkih uslovijah]// Systems and means of informatics. Special issue number 2. “Mathematical methods in computer science”. Publishing house IPI RAS, Moscow, 2002, p.206-219.
  34. Rozenberg I.N., Starostina T.A. Solving the problems of spatial optimization [Reshenie zadach prostranstvennoj optimizacii]// Systems and Means of Informatics. Special issue of “Geoinformation technologies” / Ed. I.A. Sokolov. Moscow: IPI RAS, 2004. – p. 213-231.
  35. Bershtejn L.S., Bozhenjuk A.V. Fuzzy graphs and hypergraphs [Nechetkie grafy i gipergrafy]. М .: the Scientific world, 2005. – 256с.