SAFETYLIT WEEKLY UPDATE

We compile citations and summaries of about 400 new articles every week.
RSS Feed

HELP: Tutorials | FAQ
CONTACT US: Contact info

Search Results

Journal Article

Citation

Polishchuk V, Kelemen M, Gavurová B, Varotsos C, Andoga R, Gera M, Christodoulakis J, Soušek R, Kozuba J, Hospodka J, Blišťan P, Szabo S. Int. J. Environ. Res. Public Health 2019; 16(19): e16193573.

Affiliation

Faculty of Aeronautics, Technical University of Kosice, 04121 Kosice, Slovakia. xhospodka@fd.cvut.cz.

Copyright

(Copyright © 2019, MDPI: Multidisciplinary Digital Publishing Institute)

DOI

10.3390/ijerph16193573

PMID

31554315

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.


Language: en

Keywords

air transport sector; decision support systems; decision-maker (DM); environmental start-up project; expert evaluation; expert systems; financial investments; fuzzy model; risk assessment

NEW SEARCH


All SafetyLit records are available for automatic download to Zotero & Mendeley
Print