Fuzzy Regression. Fuzzy linear regression analysis is a vital alternative to commonly used statistics-based regression methods. Through a comprehensive literature review three approaches of fuzzy regression are summarized.
This aspect of uncertainty is called possibility. Fuzzy models or sets are mathematical means of representing vagueness and imprecise information hence the term fuzzy. The first is based on possibilistic concepts and the second upon a least squares approach.
Fuzzy regression analysis for fuzzy data is a statistical model used for determining the relationship between variables which in turn are based on environments which are fuzzy and require fuzzy logic to determine their values.
In the fuzzy linear regression analysis a wide. Fuzzy linear regression is an alternative process of probabilistic specification expressed as 8. 1982 their regression models included a fuzzy output fuzzy coefficients and an nonfuzzy input vector. 1999 and Sanchez and Gomez 2003a 2003b 2004 used fuzzy regression FR in their analysis.
