# summary.IndiscernibilityRelation: The summary function for an indiscernibility relation In RoughSets: Data Analysis Using Rough Set and Fuzzy Rough Set Theories

## Description

This function enables the output of a summary of the indiscernibility relation functions.

## Usage

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

## Arguments

 `object` a `"IndiscernibilityRelation"` object. See `BC.IND.relation.FRST` and `BC.IND.relation.RST`. `...` the other parameters.

## Value

a description that contains the following information. For FRST model:

Lala Septem Riza

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19``` ```########################################################### ## Example 1: Dataset containing nominal values for ## all attributes. ########################################################### ## Decision table is represented as data frame 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) ## In this case, we only consider the second and third attributes. attributes <- c(2, 3) #### calculate fuzzy indiscernibility relation #### ## in this case, we are using "crisp" as a type of relation and type of aggregation control.ind <- list(type.relation = c("crisp"), type.aggregation = c("crisp")) IND <- BC.IND.relation.FRST(decision.table, attributes = attributes, control = control.ind) summary(IND) ```

RoughSets documentation built on May 29, 2017, 7:06 p.m.