Abstract—

The paper investigates the issues of building decision support systems based on Big Data. The emphasis is on solving a number of relevant problems, including delayed decision-making, unification of system architectures, and reducing the cost of their development. It is shown that the main reason for the delay is a large number of data sources and a massive amount of information required for synthesizing solutions presented in different languages. For a comprehensive solution to the lag problem, a unified multi-agent architecture and software system are proposed, which, at the user’s request, automatically analyzes text in different languages from thousands of heterogeneous sources in different countries and synthesizes a relevant result to the query. An example of using the system to for decision making on the purchase of goods based on an analysis of customer opinions in different countries is presented.

中文翻译：

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大数据的决策技术

摘要-

本文研究了基于大数据构建决策支持系统的问题。重点是解决许多相关问题，包括决策延迟，系统体系结构统一以及降低其开发成本。结果表明，延迟的主要原因是大量的数据源和大量信息，这些信息用于合成以不同语言显示的解决方案。为了全面解决滞后问题，提出了一个统一的多主体体系结构和软件系统，该系统和软件系统可应用户要求自动分析来自不同国家/地区的数千种异构源的不同语言的文本，并综合相关的查询结果。