多要素“差”信息系统的预测研究

Zhi-jun Li, Heng Wang, Zhuguo Li, Cheng Shang, Ye Zheng
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引用次数: 1

摘要

传统的灰色模型GM(1,1)是指数模型的一种偏差,具有所需数据少、预测精度高、不需要先验信息等特点,但有时预测效果不佳。“糟糕的”信息系统随处可见。本文提出了一种控制“差”信息系统(如社会经济系统)的方法。首先,讨论“差”信息处理和scgm模型。其次,我们将开发“差”信息系统的最优控制器。结果表明,改进后的灰色预测模型scgm -模型简单实用、精度高、误差小,可为相关部门制定对策提供科学的理论依据。算例表明,SCGM (1,h)的拟合和预测结果令人满意
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research of forecasting in "Poor" information system of multi-element
The traditional gray model GM (1,1) is a kind of deviation of the exponential model, with fewer required data, forecasting of high precision and no need prior information, etc., but sometimes its forecasting is ineffective. “Poor” information systems are found everywhere. In this paper, a control approach to “poor” information systems, such as social economic systems, is proposed. Firstly, “poor” information processing and SCGM-model will be discussed. Secondly, we will develop an optimal controller of “poor” information systems. The result shows that the improved gray forecasting model SCGM-model, which is simple and practical and has higher accuracy and less error, can provide scientific theoretical basis for the relevant departments to make strategy. A demonstrating example shows the fitting and forecasting results of SCGM (1,h) are rather satisfactory
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