Choquistic Regression Based on MSE

There are several models using the Choquet integral to generalize linear regression, but their disadvantage lies in the large number of unknown parameters. In the model we introduced, we will generalize the classic regression model with a new approach - minimizing the functional of mean squared error. We will compare the results of this model with the linear regression model on both simulated and real data.