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Fuzzy Model for Quantitative Assessment of Environmental Start-up Projects in Air Transport

Author

Listed:
  • Miroslav Kelemen

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

  • Volodymyr Polishchuk

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

  • Beáta Gavurová

    (Research and Innovation Centre Bioinformatics, USP TECHNICOM, Technical University of Košice, Kosice 04001, Slovak Republic)

  • Stanislav Szabo

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

  • Róbert Rozenberg

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

  • Martin Gera

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

  • Jaroslaw Kozuba

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

  • Rudolf Andoga

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

  • Adriana Divoková

    (Faculty of Mechanical Engineering, Technical University of Kosice, Kosice 04121, Slovak Republic)

  • Peter Blišt’an

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

Abstract

The purpose of this paper is to develop an applied fuzzy model of information technology to obtain quantitative estimates of environmental start-up projects in air transport. The developed model will become a useful tool for venture funds, business angels, or crowdfunding platforms for the development of innovative air transport businesses. Obtaining a quantitative estimate of the environmental start-up projects will increase the sustainability of the decision making on the security of financing of such projects by investors. This article develops a fuzzy evaluation model of project start-ups in air transport as an application of our neuro-fuzzy model in a specific air transport environment. The applied model provides output ranking of start-up project teams in air transport based on a four-layer neuro-fuzzy network. The presented model declares the possibilities of the application to solve these economic problems and offers the space for subsequent research focused on its usability in several areas of start-up development, in sectors and processes differentiated. The benefits are also visible for several types of policies, with an emphasis on decision-making processes in regulatory mechanisms to support the state funding in Slovakia, the EU etc.

Suggested Citation

  • Miroslav Kelemen & Volodymyr Polishchuk & Beáta Gavurová & Stanislav Szabo & Róbert Rozenberg & Martin Gera & Jaroslaw Kozuba & Rudolf Andoga & Adriana Divoková & Peter Blišt’an, 2019. "Fuzzy Model for Quantitative Assessment of Environmental Start-up Projects in Air Transport," IJERPH, MDPI, vol. 16(19), pages 1-21, September.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:19:p:3585-:d:270488
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    References listed on IDEAS

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    1. Aleksandr Ključnikov & Ladislav Mura & David Sklenár, 2019. "Information security management in SMEs: factors of success," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 6(4), pages 2081-2094, June.
    2. Vincent Soltes & Beata Gavurova, 2015. "Modification Of Performance Measurement System In The Intentions Of Globalization Trends," Polish Journal of Management Studies, Czestochowa Technical University, Department of Management, vol. 11(2), pages 160-170, June.
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    Cited by:

    1. Yuriy Bilan & Serhiy Kozmenko & Alex Plastun, 2022. "Price Forecasting in Energy Market," Energies, MDPI, vol. 15(24), pages 1-6, December.
    2. Miroslav Kelemen & Volodymyr Polishchuk & Beáta Gavurová & Stanislav Szabo & Róbert Rozenberg & Martin Gera & Jaroslaw Kozuba & Rudolf Andoga & Adriana Divoková & Peter Blišťan, 2019. "Correction: Fuzzy Model for Quantitative Assessment of Environmental Start-up Projects in Air Transport. Int. J. Environ. Res. Public Health 2019, 16 (19), 3585," IJERPH, MDPI, vol. 16(24), pages 1-2, December.

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