基于COWA算子期望的模糊线性回归模型参数估计

Parameter Estimation of Fuzzy Linear Regression Model Based on COWA Operator Expectation

文章针对输入自变量和输出因变量是模糊数的模糊线性回归模型,引入模糊数的COWA算子可能性期望。基于COWA算子期望距离测度,提出一种基于决策中偏好最小二乘法的模糊线性回归参数估计方法。并通过员工工作绩效模糊回归的实例,说明方法的有效性和可行性。

This paper aims at the fuzzy linear regression model in which the input variables and the output dependent vari- ables are fuzzy numbers to introduce the COWA operator possibility expectation of fuzzy number. Based on the COWA operator expected distance measure, the paper proposes a parameter estimation method for fuzzy linear regression model based on the pref- erence least square method. Finally, an example of employees＇ job performance is given to illustrate the effectiveness and feasibil- ity of the proposed method.