A.I. Taganov – Dr. Sc. (Eng.), Head of Department of Space Technology, Ryazan State Radio Engineering University

E-mail: alxtag@yandex.ru

A.N. Kolesenkov – Ph. D. (Eng.), Associate Professor, Department of Space Technology, Ryazan State Radio Engineering University

E-mail: sk62@mail.ru

V.G. Psoyants – Post-graduate Student, Department of Space Technology, Ryazan State Radio Engineering University

E-mail: psoians@mail.ru

N.V. Akinina – Post-graduate Student, Department of Space Technology, Ryazan State Radio Engineering University

E-mail: natalya.akinina@gmail.com

Formalized approaches and methods of using fuzzy situation models decision making for environmental risks in fuzziness conditions identification are considered in the article. The mathematical model of the environmental risks identification task is given. The results of the environmental risks identification problem area theoretical analysis including a fuzzy situation paradigm as a method of object status formalization from the risk position are mentioned. Risk situations fuzzy incorporation and environmental risk situations fuzzy equation paradigms are discussed in the article as independent methods of defining compatibility with region risk situations and the risk situations standard sample. The solution of an identification task is expressed from the theoretical basis position of formalized methods that are important for the practical realization of the environmental risks fuzzy situation management system.

1. Taganov A., Kolesenkov A., Babev S. Ecological Monitoring of Dangerous Objects on the Basis of Vegetation Indexing and Evolutionary Approach // Proceedings 5th Mediterranean Conference on Embedded Computing (MECO). Bar, Montenegro. 2016. P. 468−472.
2. Ginko V.I. E'kologicheskij risk v sisteme upravleniya riskom // V mire nauchny'x otkry'tij. 2013. № 7.2 (43). S. 301−312.
3. Koryachko V.P., Taganov A.I., Taganov R.A. Programmny'j metod upravleniya riskami kachestva proekta informaczionnoj sistemy' // Izvestiya Belorusskoj inzhenernoj akademii. 2004. № 1(17)/4. S. 168−179.
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5. Akinina N.V., Sokolova A.V., Akinin M.V., Nikiforov M.B., Taganov A.I. Neural Network Implementation of a Principal Component Analysis Tasks on Board the Unmanned Aerial Vehicle Information Processing in Real Time // 5th Mediterranean Conference on Embedded Computing (MECO). 2016. S. 326−330.
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9. Taganov A.I., Taganov R.A. Metodologicheskie osnovy' metodov identifikaczii e'kologicheskix riskovy'x soby'tij proekta // Vestnik RGRTA (Ryazan': RGRTA). 2003. № 12. S. 78−86.
10. Kolesenkov A.N., Yur'ev P.N. Razrabotka algoritma ae'rokosmicheskogo GIS-monitoringa e'kosistem // Sb. nauchny'x trudov «Aktual'ny'e problemy' matematiki i informatiki: teoriya, metodika, praktika». Elecz: EGU im. I.A. Bunina. 2015. S. 143−147.
11. Kolesenkov A.N. Texnologiya podderzhki prinyatiya upravlencheskix reshenij na osnove operativnogo monitoringa pozharnoj obstanovki // Izvestiya TulGU. Texnicheskie nauki. 2015. № 9. S. 157−163.
12. Sokolova A.V., Akinin M.V., Nikiforov M.B., Taganov A.I. Image segmentation algorithm based on self-organized Kohonen's neural maps and tree pyramidal segmenter // Proceedings 4th Mediterranean Conference on Embedded Computing (MECO, Including ECyPS, BioEMIS, BioICT, MECO-Student Challenge). 2015. S. 168−170.
13. Kostrov B.V., Zlobin V.K., Kolesenkov A.N Korrelyaczionno-e'kstremal'ny'e metody' sovmeshheniya ae'rokosmicheskix izobrazhenij// Vestnik Ryazanskogo gosudarstvennogo radiotexnicheskogo universiteta. 2011. Vy'p.37. № 3. S. 12−17.
14. Kolesenkov A.N., Kostrov B.V., Ruchkin V.N. Metodika intellektual'nogo obnaruzheniya, modelirovaniya i soprovozhdeniya pozharov // Izvestiya Tul'skogo gosudarstvennogo universiteta. Texnicheskie nauki (Tula: Izd-vo TulGU). 2015. № 5. Ch. 2. S. 266−274.
15. Ruchkin V., Fulin V., Kostrov B., Taganov A., Kolesenkov A. Forest Fire Monitoring by Means of Cyber-Physical System // 5th Mediterranean Conference on Embedded Computing (MECO). 2016.