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A Fuzzy Model of Risk Assessment for Environmental Start-up Projects in the Air Transport Sector
V. Polishchuk, M. Kelemen, B. Gavurová, C. Varotsos, R. Andoga, M. Gera, J. Christodoulakis, R. Soušek, J. Kozuba, J. Hospodka, P. Blišťan, S. Szabo,
Jazyk angličtina Země Švýcarsko
Typ dokumentu časopisecké články, práce podpořená grantem
NLK
Free Medical Journals
od 2004
PubMed Central
od 2005
Europe PubMed Central
od 2005
ProQuest Central
od 2009-01-01
Open Access Digital Library
od 2004-01-01
Open Access Digital Library
od 2005-01-01
Medline Complete (EBSCOhost)
od 2008-12-01
Health & Medicine (ProQuest)
od 2009-01-01
Public Health Database (ProQuest)
od 2009-01-01
ROAD: Directory of Open Access Scholarly Resources
od 2004
PubMed
31554315
DOI
10.3390/ijerph16193573
Knihovny.cz E-zdroje
- MeSH
- fuzzy logika * MeSH
- hodnocení rizik * MeSH
- investice MeSH
- letectví * MeSH
- rozhodování MeSH
- software MeSH
- životní prostředí * MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
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.
Department of Physics National and Kapodistrian University of Athens GR 15784 Athens Greece
Faculty of Aeronautics Technical University of Kosice 04121 Kosice Slovakia
Faculty of Information Technologies Uzhhorod National University 88000 Uzhhorod Ukraine
Faculty of Transport Czech Technical University in Praque 16000 Praque Czech Republic
Faculty of Transport Engineering University of Pardubice 53210 Pardubice Czech Republic
Faculty of Transport Silesian University of Technology 44100 Gliwice Poland
Citace poskytuje Crossref.org
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- $a 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.
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