Data structures, logical-probabilistic models and digital management of the safety and quality of systems in the economics

E. Solozhentsev, E. Karaseva
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引用次数: 1

Abstract

In this paper we are considering data structures in economic systems. These structures can be used to construct logical-probabilistic risk models intended for digital management of safety and quality of systems. Transformation of any database into a system of logical equations is described, which is the basis for constructing logical-probabilistic models of safety or quality. We give examples how the database is used to construct models of the credit risk in banks and the risk and efficiency of restaurants. Also we present examples of using complex structure data to construct a model for management of a country's innovation system quality and simple structure data for construction of a model for assessment of the failure risk for one innovation. The special software 'Arbiter' and 'Expa' for management in economics are described. The term 'digital management' is defined and computer network components for digital management of systems in economics are given.
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数据结构,逻辑-概率模型和经济系统的安全性和质量的数字化管理
在本文中,我们考虑经济系统中的数据结构。这些结构可用于构建用于系统安全和质量数字化管理的逻辑概率风险模型。描述了将任何数据库转换为逻辑方程系统,这是构建安全或质量逻辑概率模型的基础。我们给出了如何使用数据库构建银行信用风险模型和餐馆风险与效率模型的例子。本文还介绍了利用复杂结构数据构建一国创新系统质量管理模型和利用简单结构数据构建一国创新系统失败风险评估模型的实例。介绍了经济学管理专用软件“Arbiter”和“Expa”。定义了“数字管理”一词,并给出了用于经济学系统数字管理的计算机网络组件。
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来源期刊
International Journal of Risk Assessment and Management
International Journal of Risk Assessment and Management Decision Sciences-Statistics, Probability and Uncertainty
CiteScore
0.70
自引率
0.00%
发文量
1
期刊介绍: The IJRAM is an interdisciplinary and refereed journal that provides cross learning between: - Different business and economics, as well as scientific and technological, disciplines - Energy industries, environmental and ecological systems - Safety, public health and medical services - Software services, reliability and safety
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