Trofimenko I. Methods of structured-parametric comparator identifications of multifactor estimation and decision models.

The research object – processes of deciding the multifactor making in automation information systems. Purpose of research – increasing of subsystem efficiency of decision making support for problem-oriented automations information systems by facility development to identifications the multifactor estimation models. In the base of research prescribed methods of multifactor estimation, identifications, single-line and nonlinear mathematical programming. The main results of dissertations work are methods of deciding the problems parametric and structured-parametric model identifications of multifactor estimation for classes additive, multiplicative and mixed functions of generalizing usefulness, as well as method modification of shaping the subsets of efficient variants and parametric identifications to universal functions of usefulness of locale criterions. Degree of introducing the results – interindustry. Scope of using - decision support systems for deciding the problems of designing, management of projects of creation, planning of development, reengineering and management in organizations, which concern with a development and usage of automations designing systems and management in areas of economy, production, transport, relationships.