Information Model of Evaluation and Output Rating of Start-up Projects Development Teams Volodymyr Polishchuk 1 [0000-0003-4586-1333] , Miroslav Kelemen 2 [0000-0001-7459-927X] 1 Uzhhorod National University, Narodna Square, 3, Uzhhorod, 88000, Ukraine volodymyr.polishchuk@uzhnu.edu.ua 2 Technical university of Kosice, Rampova str., 7, Kosice, 04121, Slovak republic miroslav.kelemen@tuke.sk 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 neu- ro-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. Keywords: start-up team, assessment, rating, neuro-fuzzy model 1 Introduction For any project, there are people who implement it. Even for a very good start-up project, with a very high score and prospects for success, successful commercializa- tion depends, to a greater extent, on a qualitative form of developers, ready to bring the product to the market and successfully decide on its sale. Therefore, investors in start-ups like to say that they primarily invest in a team. The urgency of the work consists of the developed informational model of evalua- tion and withdrawal of the start-up team rating using the neuro-fuzzy network when there are expert and sometimes fuzzy data on the team of developers. The develop- ment of such a model will allow increasing the degree of validity of financing start-up projects since the success of the start-up implementation directly depends on the qualitative composition of the team of developers. 2 Formal problem statement Let's formulate the task of evaluating and eliminating the ranking of teams of devel- opers of start-up projects as follows. Let the set of teams of developers be set ) ,..., , ( 2 1 n x x x X  , which should be evaluated according to many indicators (criteria) ) ,..., , ( 34 12 11 K K K K  , organize according to a certain rule and draw a linguistic rating } ,..., , { 5 2 1 y y y Y  by command.