Fuzzy Regression. Statistical methods to determine variables based on fuzzy data and regression analysis are indicated here. 2003b 2004 used fuzzy regression FR in their analysis.
The input data may be crisp or fuzzy. 1982 their regression models included a fuzzy output fuzzy coefficients and an nonfuzzy input vector. This aspect of uncertainty is called possibility.
Jun 14 2016 Following Tanaka et.
Fuzzy logic is based on the observation that people make decisions based on imprecise and non-numerical information. These models have the capability of recognising representing manipulating interpreting and utilising data and information that are vague and. Apr 16 2001 Fuzzy regression can be used to fit fuzzy data and crisp data into a regression model whereas ordinary regression can only fit crisp data. The regression parameters is obtained by the least square method based on Theorem 32 and Proposition 33 to contrast which is.
