INFORMATION TECHNOLOGY SECURITY AIRCRAFT FLIGHT IN DIFFICULT CONDITIONS BASED MULTIFACTORIAL FUZZY MODELS

Authors

  • Nadir Bafadin oqlu Agayev National Aviation Academy, Baku, Azerbaijan
  • Jeyran Aqamali qizi Agamalieva National Aviation Academy, Baku, Azerbaijan

DOI:

https://doi.org/10.18372/2306-1472.57.5533

Keywords:

aircraft, catastrophic situation, complexity of the flight conditions, difficult situation, emergency, flight accident, fuzzy algorithm, linguistic variables, membership functions, normal situation

Abstract

The proposed method is designed for situations where the original information that characterizes the state of the aircraft, clearly defined and numerical variables and the so-called “linguistic variables” This simple relationship between the variables are described by means of fuzzy statements, and the complex relationship between the concepts with fuzzy algorithms

Author Biographies

Nadir Bafadin oqlu Agayev, National Aviation Academy, Baku, Azerbaijan

Agayev Nadir Bafadin oqlu. Doctor of Engineering. Associate Professor. Department of Aerospace Information Technology and Control Systems, National Aviation Academy, Baku, Azerbaijan. Education: Azerbaijan State University (now Baku State University), Baku, Azerbaijan (1983). Research area: management problems of complex technical systems, decision-making under uncertain conditions, diagnosis, image recognition, artificial intelligence systems

Jeyran Aqamali qizi Agamalieva, National Aviation Academy, Baku, Azerbaijan

Agamalieva Jeyran Aqamali qizi. Candidate of Engineering. Associate Professor. Department of Aerospace Information Technology and Control Systems, National Aviation Academy, Baku, Azerbaijan. Education: Azerbaijan State University (now Baku State University), Baku, Azerbaijan (1996). Research area: management problems of complex technical systems, decision-making under uncertain conditions, diagnosis, image recognition, artificial intelligence systems

References

Anodina, T.G.; Kuznetsov, A.A.; Markovich, Ye.D. 1992. Automation of air traffic control. Moscow, Transport (in Russian).

Borisov, A.N.; Krumberg, O.A.; Fedorov, I.P. 1990. Decision making based on fuzzy models. Riga, Zinatne. 184 p. (in Russian).

Burdun, I.Y. 1998. The intelligent situational awareness and forecasting environment. The S.A.F.E. Concept. A Case Study (Paper 981223). Proceedings of 1998 Advances in Flight Safety Conference and Exhibition, April 6-8, 1998, Daytona Beach, FL (P-321). SAE: 131144.

Burdun, I.Y.; Parfentyev, O.M. 1999. Fuzzy Situational Tree-Networks for Intelligent Flight Support. Int. Journal of Engineering Applications of Artificial Intelligence. Vol. 12: 523541.

Federal Aviation Rules AP-23. Electronic resource. Available from Internet: <http://www. avion.ru/info/docs/doc_ruslaw/ap23/23.html>.

Zubkov, B.V.; Minaev, Ye.R. 1987. Flight safety foundation. Moscow, Transport. 143 p. (in Russian)

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Published

21-01-2014

How to Cite

Agayev, N. B. oqlu, & Agamalieva, J. A. qizi. (2014). INFORMATION TECHNOLOGY SECURITY AIRCRAFT FLIGHT IN DIFFICULT CONDITIONS BASED MULTIFACTORIAL FUZZY MODELS. Proceedings of National Aviation University, 57(4), 42–47. https://doi.org/10.18372/2306-1472.57.5533

Issue

Vol. 57 No. 4 (2013)

Section

MODERN AVIATION AND SPACE TEHNOLOGY

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