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

Bibliographic Data

ID15467974
AuthorsVolodymyr Polishchuk (0000-0003-4586-1333, Uzhhorod National University, corresponding author), Мирослав Келемен (0000-0001-7459-927X, Technical University of Košice), Beata Gavurova (0000-0002-0606-879X, Technical University of Košice), Costas A Varotsos (0000-0001-7215-3610, National and Kapodistrian University of Athens), Rudolf Andoga (0000-0002-3621-5092, Technical University of Košice), Martin Gera (0000-0002-8649-8641, Comenius University Bratislava), John Christodoulakis (0000-0002-0348-6056, National and Kapodistrian University of Athens), Radovan Soušek (University of Pardubice), Jarosław Kozuba (0000-0003-3394-4270, Silesian University of Technology), Peter Blišťan (0000-0002-8452-3532, Technical University of Košice), Stanislav Szabó (0000-0001-6174-5784, Technical University of Košice)
Year2019
Volume16
Issue19
Pages3573-3573
Publication date2019-09-24
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph16193573
PMID31554315
OpenAlexW2976934522
LanguageEN
Citations received8
References cited22

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

Business · Environmental Risk Assessment · Fuzzy logic · Investment (military · Risk analysis (engineering · Risk assessment · Aerospace Engineering and Applications · Aerospace Engineering and Control Systems · Computer Science · Engineering · Leadership, Behavior, and Decision-Making Studies

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