frbs (version 3.2-0)

read.frbsPMML: The frbsPMML reader

Description

It is used to read the frbsPMML format into an frbs model in R. Detailed information about frbsPMML can be seen in frbsPMML.

Usage

read.frbsPMML(fileName)

Arguments

fileName

a file name with extension .frbsPMML.

Value

an object representing the frbs model.

an frbs object

See Also

write.frbsPMML and frbsPMML.

Examples

# NOT RUN {
## This example shows how to construct and read frbsPMML file of frbs model
## Even though we are using MAMDANI model, other models have the same way
## 
## 1. Produce frbs model, for example: we perform Wang & Mendel's technique (WM)
##
## Input data
data(frbsData)
data.train <- frbsData$GasFurnance.dt[1 : 204, ]
data.fit <- data.train[, 1 : 2]
data.tst <- frbsData$GasFurnance.dt[205 : 292, 1 : 2]
real.val <- matrix(frbsData$GasFurnance.dt[205 : 292, 3], ncol = 1)
range.data<-matrix(c(-2.716, 2.834, 45.6, 60.5, 45.6, 60.5), nrow = 2)

## Set the method and its parameters
method.type <- "WM"
control <- list(num.labels = 15, type.mf = "GAUSSIAN", type.defuz = "WAM", 
                type.tnorm = "MIN", type.implication.func = "ZADEH", 
                name="sim-0") 

## Generate fuzzy model
# }
# NOT RUN {
object <- frbs.learn(data.train, range.data, method.type, control)
# }
# NOT RUN {
## 2. Write frbsPMML file
## In this step, we provide two ways as follows.
## a. by calling frbsPMML() function directly. 
## b. by calling write.frbsPMML() function. 

## 2a. by calling frbsPMML(), the format will be displayed in R console
# }
# NOT RUN {
frbsPMML(object)
# }
# NOT RUN {
## 2b. by calling write.frbsPMML(), the result will be saved as a file
##     in the working directory.
# }
# NOT RUN {
write.frbsPMML(object, file = "MAMDANI.GasFur")
# }
# NOT RUN {
## 3. Read frbsPMML file
# }
# NOT RUN {
object <- read.frbsPMML("MAMDANI.GasFur.frbsPMML")
# }
# NOT RUN {
## 4. Perform predicting step
# }
# NOT RUN {
res.test <- predict(object, data.tst)
# }
# NOT RUN {
# }