对海关当局的活动结果进行智力测量和评估

G. Goremykina, Yu.E. Gupanova
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引用次数: 0

摘要

新的《到2030年俄罗斯联邦海关发展战略》将优化和改进海关管理作为其基本原则之一。新出现的趋势导致开发海关领域管理过程的形式化建模和分析手段的义务增加。绩效评估是最有效的管理工具之一。在本文中,作者以国家技术倡议的基本规定为基础,继续绘制在海关机构质量体系转型的背景下衡量海关当局在其活动的关键领域发挥作用的结果的问题,由于其在数字经济中的智能化进程。这项研究的目的是创建一个模型来衡量海关当局活动的结果。为了说明一般方法,描述了一个衡量“财务”方向目标实现程度的模型。该研究基于一种认知方法,该方法允许描述海关当局的智力环境以及基于模糊逻辑算法的评估和管理模型。在主题领域中呈现专家知识的技术的实现是在构建一个规定性逻辑生产模型的基础上进行的,该模型允许将专家知识以隐含陈述的形式形式化,包括前件和结果中的模糊公式,并使用广义的模态作为逻辑结论。在Matlab应用软件包模糊逻辑工具箱中进行数学模型的计算机开发。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intellectual measurement and evaluation of the results of customs authorities’ activities
The new Strategy for the Development of the Customs Service of the Russian Federation until 2030 calls optimization and improvement of customs administration as one of its fundamental principles. The emerging trend leads to an increase in the obligatoriness of the development of formalized means of modeling and analysis of management processes in the customs sphere. Performance measurement is one of the most effective management tools. In this article, the authors, taking as a basis the basic provisions of the National Technological Initiative, continued mapping the problem of measuring the results of the customs authorities functioning in key areas of their activities in the context of the qualitological system transformation of the customs institution, due to the process of its intellectualization in the digital economy. The purpose of the study is to create a model for measuring the results of the customs authorities’ activities. To specify the general methodology, a model for measuring the degree of achievement the goal in the “Finance” direction is described. The study is based on a cognitive approach that allows describing the intellectual environment of customs authorities and models of evaluation and management based on fuzzy logic algorithms. The implementation of the technology for presenting experts’ knowledge in the subject area is carried out on the basis of constructing a prescriptive logical production model that allows formalizing expert knowledge in the form of implicative statements involving fuzzy formulations in antecedents and consequents, and using a generalized modus ponens as a logical conclusion. Computer development of a mathematical model is carried out in the Fuzzy Logic Toolbox for Matlab application software package.
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