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.

Estimators for fuzzy linear regression. The functions estimate parameters of
fuzzy linear regression models with crisp or fuzzy independent variables (triangular
fuzzy numbers are supported). Implements multiple methods for parameter estimation and
algebraic operations with triangular fuzzy numbers. Includes functions for
summarising, printing and plotting the model fit. Calculates predictions from the
model and total error of fit. Individual methods are described in
Diamond (1988) <doi:10.1016/0020-0255(88)90047-3>,
Hung & Yang (2006) <doi:10.1016/j.fss.2006.08.004>,
Lee & Tanaka (1999) <doi:10.15807/jorsj.42.98>,
Nasrabadi, Nasrabadi & Nasrabady (2005) <doi:10.1016/j.amc.2004.02.008>,
Skrabanek, Marek & Pozdilkova (2021) <doi:10.3390/math9060685>,
Tanaka, Hayashi & Watada (1989) <doi:10.1016/0377-2217(89)90431-1>,
Zeng, Feng & Li (2017) <doi:10.1016/j.asoc.2016.09.029>.

Natalia Martinkova

fuzzyreg

Fuzzy Linear Regression

Pavel Skrabanek

GOF function

<dl><dt>object</dt>
<dd>a <code>fuzzylm</code> object.</dd>
<dt>sc</dt>
<dd>scaling constant used for numerical stability when spreads are equal to zero.</dd></dl>

Arguments

Goodness of Fit of Fuzzy Regression Model — GOF

<dl>

<dt>object</dt>
<dd>a <code>fuzzylm</code> object.</dd>


<dt>sc</dt>
<dd>scaling constant used for numerical stability when spreads are equal to zero.</dd>

</dl>

GOF: Goodness of Fit of Fuzzy Regression Model

Description

Usage

Value

Arguments

Details

References

See Also

Examples