To the question on conducting anti-corruption examination of normative legal acts using a mathematical model

Abstract

This article considers the possibility of conducting anti-corruption examination using fuzzy mathematical modeling. The author substantiates the characteristics of propensity for corruption of laws, for which is obtained functional dependency on the types and number of corruptiogenic based on the fuzzy conclusion. Predictive anti-corruption valuation should be based on certain criteria, which are currently absent and replaced by the professional knowledge, experience and competences of the expert. Attention is given to the method of expert research using mathematical models of fuzzy sets. The problems dealt with in jurisprudence fully correspond to the theory of fuzzy sets by physical content, specificity of source data, nature of data, and solution methods. Application of this model, including by state and municipal executive branches, would allow to significantly reduce the timeframe  of conducting anti-corruption examination, lower labor costs and probability of expert error, unify the results of anti-corruption examination, and classify normative legal acts depending on the category of corruption risk for further tasks. The absence of scientific developments in this field impedes the implementation of advanced information technologies in legal science and practice. This method allows to make greater use of modern achievements in allied fields, first and foremost, in computer technology.