The research of neural networks application possibility in solving team selection problem for project implementation

The problem is considered of applying various types of neural networks to project team members' assessment and selection for project tasks implementation. It is suggested to use cognitive map to obtain concrete estimations of correspondence between performers' competence and individual project tasks and to form the training sample. The method is given of the required expert estimations collecting and processing. It is pointed out that the technique can be applied to determine the cognitive map's parameters and to assess the competence of possible performers. The clustered rankings coordination algorithm is used to coordinate experts' opinions.