摘要
通过把模糊回归模型应用到小麦面粉指标中,得出关于小麦面粉指标间的模糊关系.这不但扩大了模糊数学的应用领域,而且对于小麦面粉各指标间关系的研究提出了一种可行的应用模型,为小麦面粉的综合研究提供参考.
Fuzzy Regression that is widely used in many fields almost has no application in the index relationship analysis of wheat flour. In this paper, a Fuzzy regression model was applied in the indexes of wheat flour to obtain the fuzzy relationship among the indexes. Accordingly, the application field of fuzzy mathematics is enlarged, and a feasible application model is provided for the index relationship analysis of the wheat flour, so as to provide reference for the comprehensive study of wheat flour.
出处
《河南工业大学学报(自然科学版)》
CAS
北大核心
2009年第4期81-83,94,共4页
Journal of Henan University of Technology:Natural Science Edition
基金
河南省自然科学基金(072300410100)
河南工业大学自然科学基金(07XJC027)
关键词
模糊回归
模糊数
参数估计
面粉指标
fuzzy regression
fuzzy number
parameter estimation
indexes of wheat flour