print.RuleSetRST: The print function for RST rule sets

In RoughSets: Data Analysis Using Rough Set and Fuzzy Rough Set Theories

Description

A print method for RuleSetRST objects.

Usage

## S3 method for class 'RuleSetRST'
print(x, howMany = min(10, length(x)), ...)

Arguments

x	a "RuleSetRST" object. See RI.LEM2Rules.RST.
howMany	an integer giving the number of rules to be printed. The default is minimum from 10 and the total number of rules in the set.
...	the other parameters.

Value

prints its argument and returns it invisibly

Author(s)

Andrzej Janusz

Examples

###########################################################
## Example : Printing of a decision rule set problem
###########################################################
data(RoughSetData)
hiring.data <- RoughSetData$hiring.dt

rules <- RI.LEM2Rules.RST(hiring.data)

rules             # all rules are printed
print(rules, 2)   # only the first two rules are printed

# printing a subset of rules
rules[2:3]

Example output

Loading required package: Rcpp
A set consisting of  4  rules:
1. IF Experience is High THEN  is Accept;
		(supportSize=3; laplace=0.8) 
2. IF Diploma is MBA and Reference is Excellent THEN  is Accept;
		(supportSize=1; laplace=0.666666666666667) 
3. IF Experience is Low THEN  is Reject;
		(supportSize=3; laplace=0.8) 
4. IF Reference is Neutral and Experience is Medium THEN  is Reject;
		(supportSize=1; laplace=0.666666666666667) 
A set consisting of  4  rules:
1. IF Experience is High THEN  is Accept;
		(supportSize=3; laplace=0.8) 
2. IF Diploma is MBA and Reference is Excellent THEN  is Accept;
		(supportSize=1; laplace=0.666666666666667) 
... and 2 other rules.
A set consisting of  2  rules:
1. IF Diploma is MBA and Reference is Excellent THEN  is Accept;
		(supportSize=1; laplace=0.666666666666667) 
2. IF Experience is Low THEN  is Reject;
		(supportSize=3; laplace=0.8) 

RoughSets documentation built on Dec. 16, 2019, 1:37 a.m.