1d:T753,# The frbsPMML reader It is used to read the frbsPMML format into an frbs model in R. Detailed information about frbsPMML can be seen in `frbsPMML`. ```r read.frbsPMML(fileName) ``` ## Arguments - `fileName`: a file name with extension `.frbsPMML`. ## Returns an object representing the frbs model. an frbs object ## Examples ```r ## 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) ## 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) ## 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") ## 3. Read frbsPMML file ## Not run: object <- read.frbsPMML("MAMDANI.GasFur.frbsPMML") ## 4. Perform predicting step ## Not run: res.test <- predict(object, data.tst) ``` ## See Also `write.frbsPMML` and `frbsPMML`.

read.frbsPMML function