This article proposes a hybrid algorithm for assessing the quality of regulatory legal acts (RLA). This algorithm uses the methods of fuzzy mathematics, processes with their help the results of the questionnaire survey of the expert group. The result of the algorithm is the quality characteristic of the NLA in the form of a fuzzy term of a linguistic variable. As an option for automating this algorithm, a specialized automated system is proposed.

Keywords: regulatory legal acts, quality assessment, fuzzy algorithms, automated systems, linguistic variables

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