The article proposed and reviewed a 3D model of the utility matrix, showing its analysis and proposing a generalized algorithm for solving a multi-critical decision-making problem under conditions of uncertainty based on this model. The essence of the technique is that the matrix-cube is divided into sections parallel to any axis (the axis of alternative solutions, the axis of undefined external situations, or the axis of criteria) and as a result we get several two-dimensional utility matrices to which we can apply any of the standard methods for solving decision-making’ problems. The application of the described method to finding the optimal solution in the conditions of uncertainty is shown by example.

In paper object model of distributed corporate information system is developed in the form of interacting models of its typical components, which takes into account replication and distribution of data between nodes of computer network, characteristics of hardware and makes it possible to simulating DCIS of any structure. A new modification of the genetic algorithm for the DCIS optimization problem has been developed, in which combined multichromosomes have been used to represent the placement of database tables, applications and parameters of servers, network devices and communication channels, genetic operators of recombination, crossover and mutation have been developed. To optimize the DCIS functioning, together with a modified genetic algorithm, the object model is used, that calculates the fitness-function, forming the optimal configuration of DCIS data distribution and hardware parameters in real time for the performance criterion formulated as the minimization of the system response time. A serial scheme of implementation of the genetic algorithm was developed, which includes full or partial optimization of DCIS in accordance with the requirements. The approach proposed allows obtaining suboptimal solution to the DCIS optimization problem with deviation from the global optimum of no more than 5%.