Prototype of Intelligent Real-Time Decision Support System Based on Anytime Algorithms and NO-SQL Database

A. Eremeev, I. Poliushkin, N. A. Paniavin, Maksim D. Sergeev, Vladimir S. Petrov, M. A. Marenkov
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Abstract

Modern research and development of the creation of intelligent (expert) decision support systems, in particular, real-time (IDSS RT) are directly related to the current situation in the field of artificial intelligence, the problem of modelling plausible reasoning. Availability of similar methods for modelling logic in the IDSS RT for monitoring and managing complex systems and processes of various natures allows rapid diagnosis of a problem situation. It helps decision-makers to find effective management solutions to normalize the problem situation. In several cases, the source data may have a rather complex structure, making it difficult to process it. Thus, document and graph data structures with sufficient data storage flexibility replace the classic strict relational models and tables. The article considers the possibilities of non-relational technologies and anytime algorithms for constructing decision trees based on the applying of the K-th level error level criterion in a combined use modelling IDSS RT for energy facilities.
基于任意时间算法和NO-SQL数据库的智能实时决策支持系统原型
现代研究开发创建智能(专家)决策支持系统,特别是实时决策支持系统(IDSS RT)直接关系到人工智能领域的现状,即似是而非的推理建模问题。在IDSS RT中提供类似的逻辑建模方法,用于监测和管理各种性质的复杂系统和过程,从而可以快速诊断问题情况。它有助于决策者找到有效的管理解决方案,使问题情况正常化。在一些情况下,源数据可能具有相当复杂的结构,使其难以处理。因此,具有足够数据存储灵活性的文档和图形数据结构取代了传统的严格关系模型和表。本文考虑了基于k级误差水平准则的非关系技术和任意时间算法在能源设施综合使用建模IDSS RT中构建决策树的可能性。
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