摘要: 多元线性回归被广泛用于预测。回归式反映了响应变量和预测变量间的线性关系。将模糊集理论引入多元线性回归中,通过模糊控制变量,可以得出更符合实际,也更容易为人所理解的回归模型。针对真实数据的实验表明,具有模糊控制变量的线性回归可以解决一类复杂的回归问题。
关键词:
多元线性回归;模糊控制变量;模糊集
Abstract: Multiple linear regression is used extensively in prediction. Regression expression reflects the linear relation between responding variable and predictive variable. By introducing fuzzy control variable, the paper proposes a fuzzy multiple linear regression model which can get more effective and more understandable fuzzy regression expression. Experiment on real data proves the efficiency of the fuzzy regression model.
Key words:
Multiple linear regression; Fuzzy control variable; Fuzzy set
吴正龙,王儒敬,宋国超. 具有模糊控制变量的多元线性回归[J]. 计算机工程, 2006, 32(3): 42-44,54.
WU Zhenglong, WANG Rujing, SONG Guochao. Fuzzy Control Variable in Multiple Linear Regression[J]. Computer Engineering, 2006, 32(3): 42-44,54.