predict.fuzzylm

Predicts the central tendency and spreads from a fuzzy linear regression model.

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

predict.fuzzylm function

<dl><dt>object</dt>
<dd>a <code>fuzzylm</code> object.</dd>
<dt>newdata</dt>
<dd>an optional data frame in which to look for variables with which to
predict. If omitted, the fitted values are used.</dd>
<dt>...</dt>
<dd>further arguments passed to or from other methods.</dd></dl>

Arguments

Predict Method for Fuzzy Linear Regression — predict.fuzzylm

<dl>

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


<dt>newdata</dt>
<dd>an optional data frame in which to look for variables with which to
predict. If omitted, the fitted values are used.</dd>


<dt>...</dt>
<dd>further arguments passed to or from other methods.</dd>

</dl>

predict.fuzzylm: Predict Method for Fuzzy Linear Regression

Description

Usage

Value

Arguments

Examples