智能信息系统设计,用于分析和预测俄罗斯联邦各地区竞争力风险的动态

I. Veshneva, G. Chernyshova, A. Bolshakov
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引用次数: 0

摘要

据透露,目前还没有公认的评价竞争力的方法;现代研究主要是对区域竞争力的理论分析。结果表明,数学模型和定量方法的应用将提高评价的客观性。提出了一种分析和预测俄罗斯联邦各区域竞争力风险动态的信息系统设计方法。指出了该系统智能化的发展前景和方向。根据对各区域正式公布的统计数据和资料的分析以及拟议的方法,设计了使社会经济指标系统化的方法。建立了基于Kolmogorov-Chapman方程的区域竞争力风险评估模型的信息系统模块,并对其进行了验证
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AN INTELLIGENT INFORMATION SYSTEM DESIGN FOR ANALYSIS AND PREDICTION OF THE DYNAMICS OF RISKS OF THE COMPETITIVENESS OF REGIONS OF THE RUSSIAN FEDERATION
It was revealed that there are no generally accepted methods for assessing competitiveness; modern research is mainly a theoretical analysis of regional competitiveness. It was substantiated that the use of mathematical models and quantitative methods will improve the objectivity of the assessment. A methodology for an information system design for analysis and prediction of the dynamics of risks of competitiveness of regions of the Russian Federation was proposed. The prospects and directions of intellectualization of that system were shown. Based on the analysis of officially published statistical data and information from the regions and the proposed methodology, methods of systematization of socio-economic indicators were designed. An information system module was developed to implement the model based on the Kolmogorov-Chapman equations for assessing the risks of regional competitiveness and its validation was carried out
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