The function calculates fuzzy regression coeficients using the fuzzy least squares
(FLS) method proposed by Diamond (1988) for non-symmetric triangular fuzzy numbers.

fuzzy

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

fls function

<dl><dt>x</dt>
<dd>two column matrix with the second column representing independent variable
observations. The first column is related to the intercept, so it consists of ones.
Missing values not allowed.</dd>
<dt>y</dt>
<dd>matrix of dependent variable observations. The first column contains the
central tendency, the second column the left spread and the third column the right
spread of non-symmetric triangular fuzzy numbers. Missing values not allowed.</dd></dl>

Arguments

Fuzzy Linear Regression using the Fuzzy Least Squares Method — fls

<dl>

<dt>x</dt>
<dd>two column matrix with the second column representing independent variable
observations. The first column is related to the intercept, so it consists of ones.
Missing values not allowed.</dd>


<dt>y</dt>
<dd>matrix of dependent variable observations. The first column contains the
central tendency, the second column the left spread and the third column the right
spread of non-symmetric triangular fuzzy numbers. Missing values not allowed.</dd>

</dl>

fls: Fuzzy Linear Regression using the Fuzzy Least Squares Method

Description

Usage

Value

Arguments

Details

References

See Also

Examples