CONSTRUCTION OF A FUZZY MODEL FOR THE SUCCESS PREDICTION OF HI-TECH COMPANIES WITH A SHORT HISTORY
Keywords:
fuzzy logic, cleantech, startup, business success predictionAbstract
There is a significant number of new high technology startup companies being built and failing on current markets every day. High-tech startups, as often abbreviated, are new companies presenting cutting edge technology. They possess the potential to change the way humankind lives and thinks. One of the essential aspects of a new startup is how to fund it. The main source of financing startups are individual investors by venture capital, another possibility is IPO, also known as public offering. Due to the nature of high-tech business it is nearly impossible to predict the success or failure of the examined startup. Investors (or venture capitalists) are often presented with many startups to choose from to fund and therefore how to value a new startups is one of the important questions still left for research to answer. This paper deals with the possibility of using fuzzy logic to bring a tool to evaluate investigating options using key factors of said startups by predicting its success or failure. The focus of this paper in the area of startups is mainly on the cleantech firms, which are companies using renewable resources and energies to provide an added value. The main goal of this paper is to create a viable and consistent fuzzy model that shows promising results for the prediction of new notions on the studied problematics.
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