| 王静,董文杰,方志耕.基于实用弱化缓冲算子的质量成本灰色 DGM 预测模型[J].装备环境工程,2018,15(7):1-4. WANG Jing,DONG Wen-jie,FANG Zhi-geng.DGM Prediction Model of Quality Cost Based on Practical Weakening Buffer Operator[J].Equipment Environmental Engineering,2018,15(7):1-4. |
| 基于实用弱化缓冲算子的质量成本灰色 DGM 预测模型 |
| DGM Prediction Model of Quality Cost Based on Practical Weakening Buffer Operator |
| 投稿时间：2018-05-11 修订日期：2018-07-25 |
| DOI：10.7643/ issn.1672-9242.2018.07.001 |
| 中文关键词: 质量成本 离散灰色模型 弱化缓冲算子 成本预测 指数模型 |
| 英文关键词:quality cost discrete grey model weakening buffer operator cost forecasting exponential model |
| 基金项目:国家自然科学基金（71671091）；江苏高校哲学社会科学研究一般项目（2014SJD052） |
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| 中文摘要: |
| 目的 运用施以弱化缓冲算子的灰色 DGM 模型进行质量成本的预测。方法 利用积分函数去除区间型数据的不确定性，将其转化为信息无偏的实数。进而分析质量成本和相关指标间的关联程度，并引入二阶弱化缓冲算子对受干扰的成本时间序列进行处理，最后建立质量成本估算预测的灰色 DGM 模型。结果 结合案例与常用的指数函数作比较，结果显示，灰色 DGM 模型对质量成本的模拟精度更高，模拟误差可由指数模型的 1.689%下降至 0.118%。结论 此模型能有效改善预测精度，具有一定的科学性和合理性。 |
| 英文摘要: |
| Objective To predict the quality cost with grey discrete model based on weakening buffer operator. Methods The integral function was used to remove the uncertainty of interval data, and transform it into an unbiased real number. By analyzing the correlation between quality cost and related factors and introducing the second-order weakening buffer operator to deal with the interference cost series, the discrete grey model was finally established to estimate the quality cost. Results Compared with cases and commonly used exponential function, the result showed that the simulation precision of DGM for quality cost was high. The simulation error might be reduced from 1.689% of exponential model to 0.118%. Conclusion This model can be used to effectively change the prediction accuracy. It has certain practicability and rationality. |
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