基于随机模糊参数预测烧结法氧化铝生产中碱液成分  

Fuzzy and Stochastic Parameters-based Prediction Method for the Components of Alkali in the Sintering Process of Aluminium

作　　者：万中[1] 孟福真[1] 郝爱云[1] 王雅琳[2] 

机构地区：[1]中南大学数学科学与计算技术学院,湖南长沙410083 [2]中南大学信息科学与工程学院,湖南长沙410083

出　　处：《模糊系统与数学》2011年第3期163-167,共5页Fuzzy Systems and Mathematics

基　　金：国家自然科学基金资助项目(71071162;60804037)

摘　　要：针对来自许多实际过程中数据变化的多态不确定性,提出一类新的预测方法。为了反映数据的多态不确定性,设计了一种分段推断算法来对样本数据的分布函数进行推断,在假设总体服从一类模糊随机变量的条件下,由该方法得到总体的分布函数的解析式。基于这种预测方法,对烧结法氧化铝生产过程中碱液成分进行了预测。预测结果表明新方法具有广泛的应用价值。For the polymorphic uncertainty of the data from the many practical processes, a new class of prediction methods was developed. To describe this polymorphic uncertainty of the data,a kind of piecewise inference algorithm was designed to obtain the distribution function of the uncertainty variable.Under the assumption that the uncertainty variable is fuzzy stochastic, the expression of the distribution function was infered from samples.Based on this prediction method,the alkali components in the sintering process of aluminium were predicted.It shows that the developed method is promising.

关 键 词：多态不确定性 分段推断算法 模糊随机变量 烧结法氧化铝 

分 类 号：F741[经济管理—国际贸易] O221[经济管理—产业经济]