cmp.firing {FuzzyR} | R Documentation |
Plot firing strength with different inference method
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)