Calculates the degree of membership of a real number to a
triangular fuzzy number. The fuzzy number is defined by its
central value and the left and right spreads.

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

dom function

<dl><dt>x</dt>
<dd>a numeric vector.</dd>
<dt>TFN</dt>
<dd>a numeric vector of length 3.</dd></dl>

Arguments

Real Value Degree of Membership to a Triangular Fuzzy Number — dom

<dl>

<dt>x</dt>
<dd>a numeric vector.</dd>


<dt>TFN</dt>
<dd>a numeric vector of length 3.</dd>

</dl>

dom: Real Value Degree of Membership to a Triangular Fuzzy Number

Description

Usage

Value

Arguments

Examples