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dc.contributor.authorПоліщук, Володимир Володимирович-
dc.contributor.authorKelemen, Miroslav-
dc.date.accessioned2019-06-24T11:53:29Z-
dc.date.available2019-06-24T11:53:29Z-
dc.date.issued2019-
dc.identifier.citationKelemen 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. 674-688uk
dc.identifier.urihttps://dspace.uzhnu.edu.ua/jspui/handle/lib/24651-
dc.description.abstractThe 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 projectsuk
dc.language.isoenuk
dc.publisherCEUR Workshop Proceedingsuk
dc.subjectstart-up team, assessment, rating, neuro-fuzzy modeluk
dc.titleModel of Evaluation and Output Rating of Start-up Projects Development Teamsuk
dc.typeTextuk
dc.pubTypeСтаттяuk
Appears in Collections:Наукові публікації кафедри програмного забезпечення систем

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