The solving of optimizing the structure of a transport node problem by the fuzzy set method

Liliya Kushchenko; Sergey Kushchenko

doi:10.1051/matecconf/202134100020

All issues

Volume 341 (2021)

MATEC Web Conf., 341 (2021) 00020

References

Open Access

Issue		MATEC Web Conf. Volume 341, 2021 The VII International Scientific and Practical Conference “Information Technologies and Management of Transport Systems” (ITMTS 2021)


Article Number		00020
Number of page(s)		6
DOI		https://doi.org/10.1051/matecconf/202134100020
Published online		21 July 2021

L. E. Guy, A. I. Shutov, P. A. Volya, S. V. Kushchenko. Congestion phenomena. Warning features // Bulletin of BSTU named after V. G. Shukhov. No. 3. pp. 166-169. (2013) [Google Scholar]
Kushchenko L. E. Organization of road traffic / L. E. Kushchenko, S. V. Kushchenko, A. N. Novikov, I. A. Novikov-Belgorod: Publishing house of BSTU named after V. G. Shukhov, - 196 p. (2020) [Google Scholar]
Rodionov M. A., Zudina T. A. Introduction to “FUZZY LOGIC” / Textbook. Penza, V. G. Belinsky State Pedagogical University, (2006) [Google Scholar]
Kofman A. Introduction to the theory of fuzzy sets M.: Radio and Communication, (1982) [Google Scholar]
Saati, T. Decision-making. Method of analyzing hierarchies / T. Saati. - M.: Radio and Communication, 1993. - 278 p. [Google Scholar]
Anshin V. M., Demkin I. V., Tsarkov I. N., Nikonov I. M. Application of the theory of fuzzy sets to the problem of project portfolio formation / / Problems of risk analysis. - - Vol. 5. - no. 3. - p. 8-21. (2008) [Google Scholar]
L. E. Kushchenko Fuzzy logic-based traffic flow modeling / S. V. Kushchenko, I. A. Novikov, A. N. Novikov, V. I. / / International Journal of Pharmacy and Technology,. - pp. 24856-24867. (2016) [Google Scholar]
Arkhipova, N. I. Theory of system analysis and management: textbook. handbook for universities / N. I. Arkhipova, V. V. Kulba, S. A. Kosyachenko-M.: “PRIOR Publishing House”, - 384 p. (2008) [Google Scholar]
Saati, T. Decision-making. Analytic hierarchy process / T. Saaty. – M.: Radio and communication, 278 c. (1993) [Google Scholar]
Moradifar A., Foroud, A. A. and K. G. Firouzjah Comprehensive identification of multiple harmonic sources using fuzzy logic and adjusted probabilistic neural network //Neural Computingand Applications. Vol. 31. no. 1. pp. 543-556. (2019) [Google Scholar]
Yudin D. A., Migergot V. Z. Automated system of fuzzy estimates of the parameters of the roasting process on the basis of image analysis // Industrial automatic control systems and controllers. no. 10. pp. 3-13. (2014) [Google Scholar]

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[1] L. E. Guy, A. I. Shutov, P. A. Volya, S. V. Kushchenko. Congestion phenomena. Warning features // Bulletin of BSTU named after V. G. Shukhov. No. 3. pp. 166-169. (2013) [Google Scholar]

[2] Kushchenko L. E. Organization of road traffic / L. E. Kushchenko, S. V. Kushchenko, A. N. Novikov, I. A. Novikov-Belgorod: Publishing house of BSTU named after V. G. Shukhov, - 196 p. (2020) [Google Scholar]

[3] Rodionov M. A., Zudina T. A. Introduction to “FUZZY LOGIC” / Textbook. Penza, V. G. Belinsky State Pedagogical University, (2006) [Google Scholar]

[4] Kofman A. Introduction to the theory of fuzzy sets M.: Radio and Communication, (1982) [Google Scholar]

[5] Saati, T. Decision-making. Method of analyzing hierarchies / T. Saati. - M.: Radio and Communication, 1993. - 278 p. [Google Scholar]

[6] Anshin V. M., Demkin I. V., Tsarkov I. N., Nikonov I. M. Application of the theory of fuzzy sets to the problem of project portfolio formation / / Problems of risk analysis. - - Vol. 5. - no. 3. - p. 8-21. (2008) [Google Scholar]

[7] L. E. Kushchenko Fuzzy logic-based traffic flow modeling / S. V. Kushchenko, I. A. Novikov, A. N. Novikov, V. I. / / International Journal of Pharmacy and Technology,. - pp. 24856-24867. (2016) [Google Scholar]

[8] Arkhipova, N. I. Theory of system analysis and management: textbook. handbook for universities / N. I. Arkhipova, V. V. Kulba, S. A. Kosyachenko-M.: “PRIOR Publishing House”, - 384 p. (2008) [Google Scholar]

[9] Saati, T. Decision-making. Analytic hierarchy process / T. Saaty. – M.: Radio and communication, 278 c. (1993) [Google Scholar]

[10] Moradifar A., Foroud, A. A. and K. G. Firouzjah Comprehensive identification of multiple harmonic sources using fuzzy logic and adjusted probabilistic neural network //Neural Computingand Applications. Vol. 31. no. 1. pp. 543-556. (2019) [Google Scholar]

[11] Yudin D. A., Migergot V. Z. Automated system of fuzzy estimates of the parameters of the roasting process on the basis of image analysis // Industrial automatic control systems and controllers. no. 10. pp. 3-13. (2014) [Google Scholar]