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INTELLECTUAL TECHNOLOGIES AND DECISION SUPPORT SYSTEMS FOR THE CONTROL OF THE ECONOMIC AND FINANCIAL PROCESSES

机译:用于控制经济和财务过程的知识产权技术和决策支持系统

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摘要

A computer based decision support system is proposed the basic tasks of which are adaptive model constructing and forecasting of various types of processes that are developing in socio-economic systems under the influence of fundamental structural changes. The complexity and urgency of the solvable problem is the need to provide acceptable quality forecasts of financial and economic indicators for short data samples, when the usage of retrospective data is impossible or significantly limited. The DSS development is based on the system analysis principles, i.e. the possibility for taking into consideration of some stochastic and information uncertainties, forming alternatives for models and forecasts, and tracking of the computing procedures correctness during all stages of data processing. A modular architecture is implemented that provides a possibility for the further enhancement and modification of the system functional possibilities with new forecasting and parameter estimation techniques. In addition, the proposed system, thanks to the modular architecture, can be improved by using the software of different vendors without any additional structural changes. A high quality of the final result is achieved thanks to appropriate tracking of the computing procedures at all stages of data processing during computational experiments: preliminary data processing, model constructing, and forecasts estimation. The tracking is performed with appropriate sets of statistical quality parameters. Example is given for estimation of financial risk in insurance sphere and the electricity consumption in terms of energy saving. The examples solved show that the system developed has good perspectives for the practical use. It is supposed that the system will be universal and find its applications as an extra tool for support of decision making when developing the strategies for companies and enterprises of various types.
机译:提出了一种基于计算机的决策支持系统,其基本任务是自适应模型构建和预测在基本结构变化的影响下在社会经济系统中发展的各种类型的过程。可解决问题的复杂性和紧迫性是,当无法使用追溯数据或使用追溯数据有限时,需要提供可接受的短期数据样本财务和经济指标质量预测。 DSS的开发基于系统分析原理,即可以考虑一些随机和信息不确定性,形成模型和预测的替代方案,并在数据处理的所有阶段跟踪计算过程的正确性。实现了模块化体系结构,该体系结构为使用新的预测和参数估计技术进一步增强和修改系统功能可能性提供了可能性。此外,由于采用了模块化架构,因此可以通过使用不同供应商的软件来改进所建议的系统,而无需进行任何其他结构更改。最终结果的高质量归功于在实验过程中对数据处理各个阶段的计算过程进行了适当的跟踪:初步数据处理,模型构建和预测估计。使用适当的统计质量参数集执行跟踪。举例说明了保险领域的财务风险和节能方面的电力消耗。所解决的示例表明,所开发的系统具有良好的实用前景。假定该系统将是通用的,并且在为各种类型的公司和企业制定策略时,可以将其应用作为支持决策的额外工具。

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