Kolisnyk M. Models and methods of multicriteria project scope optimization in clear and fuzzy output

The object - processes of project management; the purpose - to improve projects profits, time, cost, quality, risk, by creating and using models and methods of project scope optimization in a clear and fuzzy initial data; the methods - econometrics, mathematical programming, network planning, implicit enumeration, solving multiobjective problems, expert assessments, optimization-simulation approach, system approach, mashines theory of fuzzy sets; novelty - first developed a mathematical model of multiobjective project scope optimization, which takes into account criteria: income, time, cost, quality, risks and contains fuzzy parameters that allow effective solutions to under uncertainty environment; improved - method of project scope optimization on criteria for profit, time, cost, quality, risks with constraints by using the original data, presented in the form of fuzzy numbers, which improves the performance of the project under uncertainty environment; further developed a mathematical model multiobjective optimization method and content of the project with a clear and fuzzy input, which in contrast to the existing models and algorithmic techniques allow for the objective function of profit targets and analytical quality features and risks, which allows to solve the problem of looking for the kompromis version of the project work and to better satisfy the requirements of stakeholders to project; the project management process through the application of an improved method of multicriteria optimization had the further development; results - developed models and methods and computer software can be effectively used for solving complex planning project scope; the branch - engineering, etc.