Please use this identifier to cite or link to this item: https://dspace.uzhnu.edu.ua/jspui/handle/lib/24651
Title: Model of Evaluation and Output Rating of Start-up Projects Development Teams
Authors: Поліщук, Володимир Володимирович
Kelemen, Miroslav
Keywords: start-up team, assessment, rating, neuro-fuzzy model
Issue Date: 2019
Publisher: CEUR Workshop Proceedings
Citation: Kelemen M. Information Model of Evaluation and Output Rating of Start-up Projects Development Teams / M. Kelemen, V. Polishchuk [Electronic resource] // Proceedings of the Second International Workshop on Computer Modeling and Intelligent Systems (CMIS-2019), Zaporizhzhia, Ukraine, April 15-19, 2019. – CEUR Workshop Proceedings, Vol. 2353. – P. 674-688
Abstract: The problem of constructing an informational model of evaluation and output of the start-up team rating is considered. This model is based on neuro-fuzzy network when there are expert fuzzy data on the teams of developers. As the success of a start-up implementation depends on the quality of the team of developers, then the development of such a model will increase the degree of validity of the decision to finance the start-up projects
Type: Text
Publication type: Стаття
URI: https://dspace.uzhnu.edu.ua/jspui/handle/lib/24651
Appears in Collections:Наукові публікації кафедри програмного забезпечення систем

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