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

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.

Evaluation of economic potential of business environment development by comparing sector differences: perspective of SMEs in the Czech Republic and Slovakia

“…In his study, Ghulam (2019) examines SME's credit conditions during Europe's financial crisis, and offers interesting implications regarding many types of policies based on the attained results. Universities and research and innovation centers which are often established within university science parks play an important role within institutional factors influencing SMEs' development (Polishchuk et al, 2020;Kelemen et al, 2020;Blajer-Gołębiewska et al, 2018). In his study, Dallago (2014) examined the role of universities in supporting innovation on the local and regional level.…”

Model of Evaluation and Selection of Expert Group Members for Smart Cities, Green Transportation and Mobility: From Safe Times to Pandemic Times

“…Next, we phase the input data. Since the input data are presented in the form of questionnaires, with score points that are subjective in nature, there is a need to reveal the uncertainty of the input data [40]. As a result, the obtained numerical variables {s d1 , s d2 , .…”

The Design and the Properties of a Jet Engine with the Rear Bypass of the Air

“…The thrust of the engine is induced by the effects of both those gas flows. [15] At the inlet, there are high-pressure and lowpressure compressors with separate coaxial rotors which compress the air and thus increase its temperature to the value required for the most efficient ignition. The air therefore flows into a diffuser which slows down the air while maintaining its temperature.…”

“…The numerator of this formula contains the power acquired by the driven medium as it passed through the ejector, and the denominator contains the power loss of the driving medium. This provided a rather accurate image of the efficiency of the whole ejector [15].…”