addvar: Insert a variable

In FuzzyR: Fuzzy Logic Toolkit for R

Description

Adds an input or output variable to a fis object.

Usage

addvar(
  fis,
  varType,
  varName,
  varBounds,
  method = NULL,
  params = NULL,
  firing.method = "tnorm.min.max"
)

Arguments

fis	A fis must be provided.
varType	Should be either 'input' or 'output' which represents the type of variable to be created and added.
varName	A string representing the name of the variable.
varBounds	Also known as the 'range', this should be a vector giving a range for the variable, such as 1:10.
method	fuzzification or defuzzification method. fuzzification: 'gauss', 'gbell', 'tri', or user-defined. defuzzification: 'centroid', 'cos', 'coh', 'csum' or user-defined.
params	the required parameters for the corresponding fuzzification or defuzzification method. For example, the required parameters for gbell.fuzzification are c(a,b)
firing.method	the chosen method for getting the firing strength (for non-singleton fuzzification). 'tnorm.min.max' - minimum t-norm with maximum membership grade as the firing strength 'tnorm.prod.max' - product t-norm with maximum membership grade as the firing strength 'tnorm.min.defuzz.[method]' - the firing strength is based on minimum t-norm, and the chosen defuzzification method (e.g. tnorm.min.defuzz.centroid) 'tnorm.prod.defuzz.[method] - the firing strength is based on product t-norm, and the chosen defuzzification method (e.g. tnorm.prod.defuzz.bisector) 'similarity.set' - Set-theoretic similarity: the ratio between the intersection and the union of two fuzzy sets

Value

A fis with the new variable added.

Examples

fis <- newfis('tipper')
fis <- addvar(fis, 'input', 'service', c(0, 10))
fis <- addvar(fis, 'input', 'service', c(0, 10), 'gauss', 0.5, 'tnorm.min.max')

FuzzyR documentation built on May 19, 2021, 9:06 a.m.