cmp.firing: Plot firing strength with different inference method

In FuzzyR: Fuzzy Logic Toolkit for R

Description

Plots a 2D graph of the firing strength for a antecedent produced by different inference method

Usage

cmp.firing(
  IP,
  mfType,
  mfPara,
  fuzMethod,
  fuzPara,
  SFLS = TRUE,
  STD = TRUE,
  CEN = FALSE,
  SIM = FALSE,
  step = 100,
  fisRange = NULL
)

Arguments

IP	A matrix representing the input stack, number of inputs (columns) by number of outputs (rows).
mfType	The type of fuzzy membership function
mfPara	The parameters for the given type of membership function
fuzMethod	The type of fuzzy membership function for non-singleton fuzzification
fuzPara	The parameters for the given fuz.type of membership function
SFLS	When TRUE, shows the firing strength produced by SFLS
STD	When TRUE, shows the firing strength produced by std-NSFLS
CEN	When TRUE, shows the firing strength produced by cen-NSFLS
SIM	When TRUE, shows the firing strength produced by sim-NSFLS
step	For discrete fuzzification
fisRange	Field of definition, for example, c(1,10)

Value

A two dimensional graph displaying all the firing strength produced by given method.

Author(s)

Yu Zhao

Examples

cmp.firing(1, 'gaussmf', c(1, 2.5, 1), 'gbell', c(0.4, 2), step=100)

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