Calculates total error of fit of a fuzzy regression model based on the
concept of difference in membership functions of triangular fuzzy numbers
between the estimated and observed fuzzy dependent variables.

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

TEF 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>
<dt>...</dt>
<dd>additional arguments passed to the <code>integrate</code> function.</dd></dl>

Arguments

Total Error of Fit of Fuzzy Regression Model — TEF

<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>


<dt>...</dt>
<dd>additional arguments passed to the <code>integrate</code> function.</dd>

</dl>

TEF: Total Error of Fit of Fuzzy Regression Model

Description

Usage

Value

Arguments

Details

References

See Also

Examples