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A Fuzzy Model of Risk Assessment for Environmental Start-Up Projects in the Air Transport Sector

Author

Listed:
  • Volodymyr Polishchuk

    (Faculty of Information Technologies, Uzhhorod National University, 88000 Uzhhorod, Ukraine)

  • Miroslav Kelemen

    (Faculty of Aeronautics, Technical University of Kosice, 04121 Kosice, Slovak Republic)

  • Beáta Gavurová

    (Research and Innovation Centre Bioinformatics, USP TECHNICOM, Technical University of Košice, 040 01 Kosice, Slovak Republic)

  • Costas Varotsos

    (Department of Physics, National & Kapodistrian University of Athens, GR-15784 Athens, Greece)

  • Rudolf Andoga

    (Faculty of Aeronautics, Technical University of Kosice, 04121 Kosice, Slovak Republic)

  • Martin Gera

    (Faculty of Mathematics, Physics and Informatics, Comenius University in Bratislava, Bratislava, 84248 Mlynska Dolina, Slovak Republic)

  • John Christodoulakis

    (Department of Physics, National & Kapodistrian University of Athens, GR-15784 Athens, Greece)

  • Radovan Soušek

    (Faculty of Transport Engineering, University of Pardubice, 53210 Pardubice, Czech Republic)

  • Jaroslaw Kozuba

    (Faculty of Transport, Silesian University of Technology, 44100 Gliwice, Poland)

  • Peter Blišťan

    (Faculty of Mining, Ecology, Process Control and Geotechnology of Aeronautics, Technical University of Kosice, 04121 Kosice, Slovak Republic)

  • Stanislav Szabo

    (Faculty of Aeronautics, Technical University of Kosice, 04121 Kosice, Slovak Republic)

Abstract

The purpose of this paper is to develop a fuzzy model of the risk assessment for environmental start-up projects in the air transport sector at the stage of business expansion. The model developed for the following software will be a useful tool for the risk decision support system of investment funds in financing environmental start-up projects at the stage of market conquest. Developing a quantitative risk assessment for environmental start-up projects for the air transport sector will increase the resilience of making risk decisions about their financing by the investors. In this paper, a set of 21 criteria for assessing the risk of launching environmental start-up projects in the air transport sector were formulated for the first time by presenting inputs in the form of a linguistic risk assessment and the number of credible expert considerations. The fuzzy risk assessment model, based on expert knowledge, uses linguistic variables, reveals the uncertainty of the input data, and displays a risk assessment with linguistic interpretation. The result of the paper is a fuzzy model that is embedded in a generalized algorithm and tested in an example risk assessment of environmental start-up projects in the air transport sector.

Suggested Citation

  • Volodymyr Polishchuk & Miroslav Kelemen & Beáta Gavurová & Costas Varotsos & Rudolf Andoga & Martin Gera & John Christodoulakis & Radovan Soušek & Jaroslaw Kozuba & Peter Blišťan & Stanislav Szabo, 2019. "A Fuzzy Model of Risk Assessment for Environmental Start-Up Projects in the Air Transport Sector," IJERPH, MDPI, vol. 16(19), pages 1-19, September.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:19:p:3573-:d:270316
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    References listed on IDEAS

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    Cited by:

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    2. Zuzana Virglerova & Eva Ivanova & Jan Dvorsky & Jaroslav Belas & Tomáš Krulický, 2021. "Selected factors of internationalisation and their impact on the SME perception of the market risk," Oeconomia Copernicana, Institute of Economic Research, vol. 12(4), pages 1011-1032, December.
    3. Iveta Vajdová & Edina Jenčová & Stanislav Szabo & Lucia Melníková & Jozef Galanda & Malgorzata Dobrowolska & Jindřich Ploch, 2019. "Environmental Impact of Burning Composite Materials Used in Aircraft Construction on the Air," IJERPH, MDPI, vol. 16(20), pages 1-14, October.
    4. Miriam Andrejiová & Anna Grincova & Daniela Marasová, 2020. "Study of the Percentage of Greenhouse Gas Emissions from Aviation in the EU-27 Countries by Applying Multiple-Criteria Statistical Methods," IJERPH, MDPI, vol. 17(11), pages 1-16, May.
    5. Simona Hašková & Petr Šuleř & Róbert Kuchár, 2023. "A Fuzzy Multi-Criteria Evaluation System for Share Price Prediction: A Tesla Case Study," Mathematics, MDPI, vol. 11(13), pages 1-17, July.
    6. Gavurova, Beata & Kelemen, Miroslav & Polishchuk, Volodymyr, 2022. "Expert model of risk assessment for the selected components of smart city concept: From safe time to pandemics as COVID-19," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    7. Yuriy Bilan & Serhiy Kozmenko & Alex Plastun, 2022. "Price Forecasting in Energy Market," Energies, MDPI, vol. 15(24), pages 1-6, December.

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