模糊多项式在变形监测数据处理中的应用  

Application of fuzzy polynomial in deformation monitoring data processing

作　　者：王春媛[1] 

机构地区：[1]兰州石化职业技术学院信息处理与控制工程学院,甘肃兰州730060

出　　处：《矿山测量》2017年第4期6-9,43,共5页Mine Surveying

基　　金：兰州市科学技术局计划项目(兰财建发[2015]85号);兰州石化职业技术学院科技资助项目(院发[2015]69号)

摘　　要：变形时间序列预测是一个非线性模糊数据处理问题,为了克服因预测值的不准确性所导致的错误判断,建立了一种模糊多项式预测方法。与其他预测方法比较,模糊多项式预测的结果不是具体数值而是一个信度较高的区间,拓宽了预测值的适用范围,使预测结果更合理、更科学。Deformation time series prediction was a nonlinear fuzzy data processing problem. In order to overcome the false judgment caused by the inaccuracy of the predicted value, a fuzzy polynomial prediction method was estab- lished. Comparing with other prediction methods, the result of fuzzy polynomial prediction was not a specific value but a higher confidence interval, which broadened the application range of forecast value and made the prediction re- sult more reasonable and scientific.

关 键 词：模糊多项式 非线性约束优化 MATLAB工具箱 变形预测 

分 类 号：TD172[矿业工程—矿山地质测量]