摘要
考虑两类模糊回归模型 :一类是设计点为实数、参数为模糊数 ;另一类是观察值为模糊数、参数为实数。就这两类回归模型 ,从稳健统计的角度提出相应的稳健方法 ,并通过例子与现有的方法进行比较 ,说明所提方法的稳健性。
Two classes of fuzzy linear regression models are considered, one involves real design points and fuzzy number parameters, the other consists of fuzzy number observations and real parameters. Based on robust statistics, robust approaches are represented for these fuzzy regression models, and are illustrated with several examples in order to show the robustness of the suggested approaches.
出处
《模糊系统与数学》
CSCD
2001年第3期74-77,共4页
Fuzzy Systems and Mathematics
基金
长安大学青年发展基金资助项目
