Open Access Open Access  Restricted Access Subscription or Fee Access

The Expert Model for Safety Risks Assessment of Aviation Environmental Projects' Implementation Within the Investment Phase of the Project

(*) Corresponding author

Authors' affiliations



The purpose of the paper is to present a comprehensive expert model created to obtain the quantitative safety risks assessment of environmental projects’ implementation in the aviation sector, within the investment phase of the project life cycle. The successful implementation of aviation environmental projects depends also on the security risks of the projects, their implementation, and the team implementing them. The complex expert model will allow increasing the degree of validity of the decision on the security risks of project implementation in the aviation sector. On one hand, the developed model uses the quantitative estimates of the project on various indicators and it is based on different models, and on the other hand, it uses the experience, the knowledge and the expertise of the project, and the security experts in the subject area. The model is based on the neuro-fuzzy network. It enhances the accuracy and the objectivity of the project evaluation within the investment phase of the project life cycle.
Copyright © 2020 Praise Worthy Prize - All rights reserved.


Aviation Sector; Safety Risks Assessment; Projects; Implementation; Neuro-Fuzzy Network; Human Factor

Full Text:



V. Polishchuk, Fuzzy Method for Evaluating Commercial Projects of Different Origin, Journal of Automation and Information Sciences, V50, I5 (2018), 60-7.

V. Polishchuk, M. Kelemen, J. Kozuba, Technology improving safety of crowdfunding platforms functioning in the context of the protection of the start-up investors in the financial and transport sectors, Journal of Konbin, V49, n1, (2019), 313-330.

G. Koulinas, O. Demesouka, P. Marhavilas, A. Vavatsikos, D. Koulouriotis, Risk Assessment Using Fuzzy TOPSIS and PRAT for Sustainable Engineering Projects. Sustainability, 11 (3), (2019), 615.

Han, M., Park, T., Integrated Airworthiness Certification Criteria and Security Risk Assessment for UAVs, (2019) International Review of Aerospace Engineering (IREASE), 12 (3), pp. 141-149.

V. Polishchuk, I. Liakh, Management mechanisms and development strategies of economic entities in conditions of institutional transformations of the global environment: Enhancing the safety of assessment of expert knowledge in fuzzy conditions global environment, second ed. (Landmark SIA, ISMA University, Riga, 2019, pp. 234-243).

M. Kelemen, V. Polishchuk, B. Gavurová, S. Szabo, R. Rozenberg, M. Gera, J. Kozuba, J. Hospodka, R. Andoga, A. Divoková, P. Blišt’an, Fuzzy Model for Quantitative Assessment of Environmental Start-up Projects in Air Transport, Int. J. Environ. Res. Public Health, 16, 3585, (2019).

V. Polishchuk, M. Kelemen, B. Gavurová, C. Varotsos, R. Andoga, M. Gera, J. Christodoulakis, R. Soušek, J. Kozuba, J. Hospodka, P. Blišťan, S., Szabo Jr., A Fuzzy Model of Risk Assessment for Environmental Start-Up Projects in the Air Transport Sector, Int. J. Environ. Res. Public Health, 16, 3573, (2019).

S. Szabo, et al, Aviation Safety Investment Assessment Utilizing Return on Investment and Bayesian 524 Networks. Central European Conference on Finance and Economics CEFE2015, Herlany, Slovakia, (2015).

S. Szabo, et al, Probabilistic model for airport runway safety areas, Transport Problems, Vol 12, issue 458 2, (2017), 89-97.

E. Jenčová, et al, Comparison of the Accuracy of Selected Forecasting Methods. In Transport Means 2018, Part 3: Proceedings of the 22nd International Scientific Conference on Transport Means, Kaunas, Latvia, (2018).

O.A. Shvetsova, E.A. Rodionova, M.Z. Epstein, Evaluation of investment projects under uncertainty: multi-criteria approach using interval data. Entrepreneurship and Sustainability, Issues 5(4), (2018), 914-928.

M. Akram, A. Adeel, J.C.R. Alcantud, Multi-Criteria Group Decision-Making Using an m-Polar Hesitant Fuzzy TOPSIS Approach, Symmetry, 11, 795, (2019).

G. Wei, P. Sun, Z. Zhang, X. Ouyang, The Coordinated Relationship between Investment Potential and Economic Development and Its Driving Mechanism: A Case Study of the African Region. Sustainability, 12, (2020) 442.

V. Kotsovsky, F. Geche, A. Batyuk, On the computational comlexity of learning bithreshold neural units and networks. Advances in Intelligent Systems and Computing, vol. 1020, V. Lytvynenko et al., Eds. Cham: Springer, (2020), 189–202.

Iswanto, I., Mujaahid, F., Rohmansyah, R., Ardi Nugraha, T., Shekher, V., Quadrotor Tracking Control Based on Optimized Fuzzy Logic Controller, (2019) International Review of Aerospace Engineering (IREASE), 12 (6), pp. 261-270.

K. Madhu Kishore Raghunath, S.L. Tulasi Devi, Effectiveness of risk assessment models in business decisions: Reinforcing knowledge. International Journal of Sociotechnology and Knowledge Development, 10(2), (2018), 35–53.

M. Kelemen, V. Polishchuk, Information Model of Evaluation and Output Rating of Start-up Projects Development Teams. In Second International Workshop on Computer Modeling and Intelligent Systems, CMIS, Zaporizhzhia, Ukraine, (2019).

B. Gavurova, F. Janke, M. Packova, M. Pridavok, Analysis of impact of using the trend variables on bankruptcy prediction models performance, Ekonomický časopis, Vol. 65, No. 4, (2017), 370-383.

J. Belás, M. Mišanková, J. Schonfeld, B. Gavurová, Credit risk management: Financial safety and sustainability aspects, Journal of Security and Sustainability Issues, Vol. 7, No. 1, (2017), 79-93.

A.I. Guseva, M.V. Koptelov, Risk assessment of prospective investment projects for the construction of nuclear power plants abroad. International Journal of Engineering & Technology, 7 (2.23) (2018) 251-254.

I. Scholz, Reflecting on the Right to Development from the Perspective of Global Environmental Change and the 2030 Agenda for Sustainable Development. In Sustainable Development Goals and Human Rights, (Springer: Cham, Switzerland, 2020, 191–206).

Y. Bilan, B. Gavurova, S. Gedek, A. Tkacova, The composite coincident indicator (CCI) for business cycles, Acta Polytechnica Hungarica, Vol. 14, No. 7, (2017), 71 – 90.

F. Jovanović, N. Milijić, M. Dimitrova, I. Mihajlović, Risk Management Impact Assessment on the Success of Strategic Investment Projects: Benchmarking Among Different Sector. Companies, Acta Polytechnica Hungarica, Vol. 13, No. 5, (2016), 221 – 241.

B. Gavurova, Source Identification of Potential Malfunction of Balanced Scorecard System and Its Influence on System Function, E+M Ekonomie a management, Vol. 15, No. 3, (2012), 76-90.

UNIDO. Director-General’s Administrative Instruction No. 17/Rev.1: Guidelines for the Technical Cooperation Programme and Project Cycle (DGAI.17/Rev.1, 2006).

STN ISO 10006:2019-05 (01 0325) (Quality management. Guidelines for quality management in projects (Slovenský ústav technickej normalizácie, the Slovak Institute of Technical Standardization Bratislava, 2019).

ISO 21500 Quality management. Guidelines for quality management in projects.

U. Brand, C. Görg, M. Wissen, Overcoming neoliberal globalization: Social-ecological transformation from a Polanyian perspective and beyond. Globalizations 17, (2020), 161–176.

S. Vojtovic, J. Belas, J. Habanik, Microenterprises’ entrepreneurs’ attitudes to managing financial risks, Actual Probl. Econ, Vol. 186, (2016), 120-129.

K.M.K. Raghunath, S.L.T. Devi, C.S. Patro, An Empirical Take on Qualitative and Quantitative Risk Factors. International Journal of Risk and Contingency Management, 6(4), (2017), 1-15.

M.M. Malyar, V.V. Polishchuk, Fuzzy models and methods for assessing the creditworthiness of enterprises and investment projects: monograph. (RA SHARK, Uzhgorod, 2018).

M. Zgurovsky, Yu. Zaychenko, Big Data: Conceptual Analysis and Applications. (Springer, New York, 2020).

N. Malyar et al., Model of start-ups assessment under conditions of information uncertainty, Eastern European Journal of Enterprise Technologies 3/4 (81) (2016), 43-49.

M. Kelemen, V. Polishchuk, Model of Evaluation of Start-up Projects in Sectors of Finances and Transport. International Scientific Symposium Intelligent Solutions, V-th International Conference Computational Intelligence (Results, Problems and Perspectives), Uzhhorod, Ukraine, (2019).

M. Kelemen, V. Polishchuk, Neuro-fuzzy Informational Model of Assessment of Developers of Start-up Projects. International Scientific Symposium Intelligent Solutions, IX-th International School-Seminar Decision Making Theory, Uzhhorod, Ukraine, (2019).

V. Polishchuk, M. Malyar, M. Sharkadi, Model of information technologies for risk assessment of project financing, Radioelektronika, informatyka, upravlinnya 2017/2 (2017), 44-52.

M. Kelemen, Safety and Knowledge Alliance of Aviation Education: Human factors in Aviation Safety and Air Law. (AMELIA Aneta Siewiorek, Poland, 2019).


  • There are currently no refbacks.

Please send any question about this web site to
Copyright © 2005-2024 Praise Worthy Prize