# cuts.to.PLFN: Convert cuts to Piecewise Linear Fuzzy Number In Sim.PLFN: Simulation of Piecewise Linear Fuzzy Numbers

## Description

This function can easily covert a cuts matrix into a Piecewise Linear Fuzzy Number.

## Usage

 `1` ```cuts.to.PLFN(cuts) ```

## Arguments

 `cuts` A matrices, with knot.n raw and 2 column, which contains all information about a Piecewise Linear Fuzzy Number.

## Value

This function returned a Piecewise Linear Fuzzy Number.

## References

Gagolewski, M., Caha, J. (2015) FuzzyNumbers Package: Tools to deal with fuzzy numbers in R. R package version 0.4-1, https://cran.r-project.org/web/packages=FuzzyNumbers

Gagolewski, M., Caha, J. (2015) A guide to the FuzzyNumbers package for R (FuzzyNumbers version 0.4-1) http://FuzzyNumbers.rexamine.com

DISTRIB FuzzyNumbers FuzzyNumbers.Ext.2 Calculator.LR.FNs

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17``` ```if(!require(FuzzyNumbers)){install.packages("FuzzyNumbers")} library(FuzzyNumbers) knot.n = 2 T <- PLFN( knot.n=knot.n, X.dist="norm", X.dist.par=c(0,1), slX.dist="exp", slX.dist.par=3, srX.dist="beta", srX.dist.par=c(1,3) ) T plot(T, type="b") CUTS <- PLFN.to.cuts(T, knot.n) CUTS T2 = cuts.to.PLFN(CUTS) plot(T2, type="b", col=2, add=TRUE, lwd=3, lty=3) ```

Sim.PLFN documentation built on May 2, 2019, 5:51 a.m.