# summary.PositiveRegion: The summary function of positive region based on RST and FRST In janusza/RoughSets: Data Analysis Using Rough Set and Fuzzy Rough Set Theories

## Description

This function enables the output of a summary of the positive region and degree of dependency.

## Usage

 ```1 2``` ```## S3 method for class 'PositiveRegion' summary(object, ...) ```

## Arguments

 `object` a `"PositiveRegion"` object. See `BC.positive.reg.FRST` and `BC.positive.reg.RST`. `...` the other parameters.

Lala Septem Riza

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19``` ```dt.ex1 <- data.frame(c(1,0,2,1,1,2,2,0), c(0, 1,0, 1,0,2,1,1), c(2,1,0,0,2,0,1,1), c(2,1,1,2,0,1,1,0), c(0,2,1,2,1,1,2,1)) colnames(dt.ex1) <- c("aa", "bb", "cc", "dd", "ee") decision.table <- SF.asDecisionTable(dataset = dt.ex1, decision.attr = 5, indx.nominal = c(1:5)) ## in this case, we consider second and third attributes only P <- c(2,3) ####### Perform indiscernibility relation ####### IND <- BC.IND.relation.RST(decision.table, feature.set = P) ####### Perform lower and upper approximations ##### roughset <- BC.LU.approximation.RST(decision.table, IND) ####### Determine the positive region ###### region <- BC.positive.reg.RST(decision.table, roughset) summary(region) ```

janusza/RoughSets documentation built on May 31, 2018, 11:11 a.m.