About this document
Fuzzy Regression Models Explained by suliaman.hussien83 is a document available to read on EtoBox.
The article discusses fuzzy regression models, particularly focusing on the Tanaka approach, which utilizes triangular fuzzy numbers to minimize fuzziness in regression analysis. It revisits previous studies and highlights issues related to fuzzy coefficients and the limitations of the possibilistic regression model. The paper also contrasts possibilistic regression with fuzzy least-squares regression as an alternative approach.
- Author
- suliaman.hussien83
- Language
- EN