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基于结构元理论的模糊回归预测
引用本文:曾冰.基于结构元理论的模糊回归预测[J].湛江师范学院学报,2010,31(6):21-23.
作者姓名:曾冰
作者单位:湛江师范学院数学与计算科学学院,广东湛江524048
摘    要:在许多预测问题中,观测得到的数据既具有随机性,也具有模糊性,因此常采用模糊回归预测.该文基于模糊结构元理论,构造了一种有对称结构元线性生成的线性回归预测模型.该模型可以把复杂的模糊线性回归预测问题归结为普通规划问题求解,计算简单,易于实现,减少了模糊线性回归预测模型的复杂性.

关 键 词:模糊结构元  模糊数  线性回归  预测

Fuzzy Regression Prediction Theory Based on the Structure
ZENG Bing.Fuzzy Regression Prediction Theory Based on the Structure[J].Journal of Zhanjiang Normal College,2010,31(6):21-23.
Authors:ZENG Bing
Institution:ZENG Bing(School of Mathematics and Computational Science,Zhanjiang Normal College,Zhanjiang, 524008,Guangdong,China)
Abstract:The data which observed in many prediction problems has characteristics of randomicity and fuzzification,so the fuzzy progression model is frequently used in these problems.In this paper,based on the fuzzy theory,the fuzzy linear regression prediction model which has linear symmetrical structure numbers is constructed.This model can transform the fuzzy linear regression prediction problem into the common programming problem which compute simply,easy to realize,and reduce complexity.
Keywords:fuzzy structured element  fuzzy number  linear regression  forecast
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