【作者】 李仁健； 刘艳秋；

【Author】 LIUYANQiu;LIRENJian;Shenyang University of Technology;

【机构】 沈阳工业大学；

【摘要】 为解决塑料制品回收数据统计量模糊,难以进行准确预测的问题,本文针对数据回收量用不确定语言描述的情况下,根据实际数据设定的隶属函数进行量化,再利用灰色中心逼近式模型用采预测塑料制品回收量,并进行可信度检验。文中的仿真实例针对某种塑料制品回收数据分别进行了模糊转化和级比界区检验,而后利用灰色模型进行数据的预测,并进行误差检验得出较好的预测结果。表明该方法在模糊语言描述的数据序列中预测的可行性。更多还原

【Abstract】 This article is available for data recovery of the amount of uncertain language to describe the circumstances,based on actual data set membershi Pfunction to quantify the re- use of gray center approach model to predict the amount of recycled plastic products and carry out reliability tests to address the amount of plastic recycling statistics vague and difficult to predict problems.Man in the simulation example for a plastics recycling respectively fuzzy data conversion,and class than the border in the inspection,then the use of gray model forecast data and carry out the error tests,obtained good forecasting results.更多还原