Sentence examples for fuzzy regression from inspiring English sources

The inherent fuzziness of relationships in QFD modeling justifies the use of fuzzy regression for estimating the relationships between both customer needs and engineering characteristics, and among engineering characteristics.

2, fuzzy regression methods in the literature are reviewed.

LINGO Software is used for solving the fuzzy regression methods.

Excellent performance is achieved on some linear fuzzy regression models.

However, the nonlinear fuzzy regression model has received relatively little attention, because such nonlinear fuzzy regression models having certain limitations.

In this study, we propose a novel version of fuzzy regression model, called kernel based nonlinear fuzzy regression model, which deals with crisp inputs and fuzzy output, by introducing the strategy of kernel into fuzzy regression.

In this study, fuzzy regression (FR) models with fuzzy inputs and outputs are discussed.

Several studies of fuzzy regression analysis can be found in [14, 15].

Ishibuchi and Nii [22] proposed nonlinear fuzzy regression methods based on FNN with asymmetric fuzzy weights.

His implemented method was a fuzzy regression nearest neighbor ANN model.

(Pop and Sârbu 1996) proposed a new fuzzy regression algorithm to obtain robust models.