prodFuzzy

Calculates product of two triangular fuzzy numbers defined as a central value, left
and right spread.

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

prodFuzzy function

<dl><dt>x</dt>
<dd>a numeric vector of length three, specifying a triangular fuzzy number as its
central value, left and right spread.</dd>
<dt>y</dt>
<dd>a numeric vector of length three, specifying a triangular fuzzy number as its
central value, left and right spread.</dd></dl>

Arguments

Product of Two Triangular Fuzzy Numbers — prodFuzzy

<dl>

<dt>x</dt>
<dd>a numeric vector of length three, specifying a triangular fuzzy number as its
central value, left and right spread.</dd>


<dt>y</dt>
<dd>a numeric vector of length three, specifying a triangular fuzzy number as its
central value, left and right spread.</dd>

</dl>

prodFuzzy: Product of Two Triangular Fuzzy Numbers

Description

Usage

Value

Arguments

Examples