Quadratic Programming Models for Fuzzy Regression
نویسندگان
چکیده
Fuzzy regression models has been traditionally considered as a problem of linear programming. We introduce new models founded on quadratic programming with the aim of overcoming the limitations of linear programming, and that allow to define a great amplitude of wide variety. We verify the existence of multicollinearity in fuzzy regression and we propose a model based on Ridge regression in order to address this problem.
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تاریخ انتشار 2006