Measurement of Customs Performance in Conditions of Customs Institute Intellectualization

Abstract

AbstractMeasuring performance is one of the most effective management tools. In this research, the authors continue mapping the problem of measuring the customs authorities’ results by key areas of activity in the context of the qualitological systemic transformation of the customs institute caused by its intellectualization in the digital economy. The research is based on a cognitive approach that allows describing the intellectual environment of the activities of customs authorities and evaluating and managing models based on artificial intelligence. The implementation of the technology of representing the knowledge of experts in the subject field is carried out through the construction of production models based on fuzzy logic. These models allow presenting knowledge in the form of implicative statements using fuzzy formulations in antecedents and consequents and use generalized modus ponens as a logical inference. Computer-based implementation of mathematical models is performed on the MatLab software system platform by using the Fuzzy Logic Toolbox software package. The research results may be applicable in administering national customs authorities (the Russian Federation and Eurasian Economic Union) and form the basis for developing measurement models of the activity of customs authorities.KeywordsCustoms performanceEvaluationCustoms instituteBalanced scorecardFuzzy logicIntelligent modelingJEL ClassificationC02C65D81P47