The article considers a generalized algorithm for assessing the quality of socially significant activities (hereinafter referred to as CPAs), which provides for expert assessment and subsequent data analysis using one of the assessment scales (linguistic, point and interval). Methods are proposed that are advisable to apply at various stages of the generalized algorithm. The groups of criteria for assessing the quality of CPAs are determined: deterministic and partially deterministic. It is proposed to calculate the quality assessment of CPAs by summing the values of the calculated deterministic and partially deterministic criteria, adjusted for their weight determined by an expert. When implementing the proposed algorithms, the mathematical apparatus of fuzzy logic was used, which allows us to carry out calculations with fuzzy given input information characteristic of social objects. It is convenient to automate and apply such algorithms when the data is presented in a qualitative interpretation.

Keywords: socially significant activity, quality assessment, quality assessment algorithm, optimization, expert assessment, automation, fuzzy set, entropy approach, system analysis

The paper considers the results of research on the use of various types of approximations of concrete deformation diagrams on the example of calculating a large-span reinforced concrete truss with a length of 18 m. calculations were performed taking into account the physical nonlinearity of concrete and reinforcement. The following concrete deformation diagrams were used : bilinear, trilinear , and curved with a descending branch. The result of the calculation was the forces in the truss rods, the displacement and the width of the crack opening. Conclusions were made about the influence of the choice of the concrete deformation diagram on the calculation results.

Keywords: concrete, deformation diagram, approximation, physical nonlinearity, stress-strain state, longitudinal force, bending moment, displacement, crack resistance , truss

Some aspects of the use of fuzzy logic to generate a mathematical model to search for objects on the sea. Describes how to use the algorithm Mamdani, to create a model of fuzzy inference. Section gives an example of the use of Fuzzy Logic Toolbox package Matlab, for the simulation of fuzzy search engine and determine the optimal solution of the problem to find the object.

Keywords: mathematical model, fuzzy logic, object search algorithm Mamdani, membership function