| 基于变精度粗糙集理论的组合预测方法研究 |
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| 引用本文： | 覃志华,王加阳.基于变精度粗糙集理论的组合预测方法研究[J].计算机测量与控制,2005,13(3):239-241. |
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| 作者姓名： | 覃志华 王加阳 |
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| 作者单位： | 中南大学 信息科学与工程学院,湖南 长沙 410083 |
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| 摘 要： | 组合预测的关键是确定各个单模型预测方法的加权系数。文章首先给出了一种基于标准粗糙集理论的组合预测方法，将加权系数确定问题转化为标准粗糙集理论中属性重要性评价问题，通过引入目标函数，提出了一种基于变精度粗糙集理论的寻找组合预测加权系数的新方法。仿真实验表明，基于变精度粗糙集理论的组合预测方法计算量小，不带有主观性，预测精度高。
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| 关 键 词： | 组合预测方法 粗糙集理论 加权系数 重要性评价 问题转化 目标函数 仿真实验 预测精度 计算量 主观性 标准 属性 |
| 文章编号： | 1671-4598(2005)03-0239-02 |
| 修稿时间： | 2004年7月19日 |
Study for Combinational Forecast Method Based on the Variable Precision Rough Set Theory |
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| Qin Zhihua,Wang Jiayang.Study for Combinational Forecast Method Based on the Variable Precision Rough Set Theory[J].Computer Measurement & Control,2005,13(3):239-241. |
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| Authors: | Qin Zhihua Wang Jiayang |
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| Abstract: | The key for combinational forecast is to determinate the weighting coefficient of every single forecast model. Firstly, this paper shows a method based on the standard rough set theory, which translates combinational forecast into estimating significance of attributes among rough set theory. Then, a new algorithm based on the variable precision rough set theory is proposed by introducing an object function. With this method a better weighting coefficient of combinational forecast can be worked out. In the end, an emulate experiment shows the new method based on the variable precision rough set theory is easier to calculate, more objective and more precise. |
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| Keywords: | combinational forecast weighting coefficient rough set theory variable precision rough set model |
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