GOF {fuzzyreg} | R Documentation |
Goodness of Fit of Fuzzy Regression Model
Description
Calculates mean error rate based on Diamond's distance of two variables representing triangular fuzzy numbers, where one is the response variable and the other is the prediction from a fuzzy regression model.
Usage
GOF(object, sc = 1e-06)
Arguments
object |
a |
sc |
scaling constant used for numerical stability when spreads are equal to zero. |
Details
The Diamond's distance of two triangular fuzzy numbers is sum of squared differences of the core and both support values of the fuzzy numbers.
Value
A numeric.
References
Diamond P. (1988) Fuzzy least squares. Information Sciences 46(3): 141-157.
Wang N., Zhang W.-X., Mei C.-L. (2007) Fuzzy nonparametric regression based on local linear smoothing technique. Information Sciences 177: 3882-3900.
See Also
Examples
data(bats)
f <- fuzzylm(temperature ~ MAST, data = bats)
GOF(f)
[Package fuzzyreg version 0.6.2 Index]