Makhno M. Models and methods for solving fuzzy problems of time resource optimal distribution

The thesis is devoted to the development and practical implementation of methods and algorithms for solving fuzzy linear programming problems with resource constraints. The general problem of scheduling in terms of linear integer programming is formulated, the formulation and method for solving the optimal recombination problem for performing a given set of works is given. A hybrid dynamic model of the proccess of proccessing a set of problems is constructed, an assertion is obtained about the fundamental matrix of its solution. A system has been developed for remote online-testing to determine yhe levels of training participants in the testing and simulate their behavior.