summary.RuleSetFRST: The summary function of rules based on FRST

Description Usage Arguments Value Author(s) Examples

View source: R/IOFunctions.R

Description

This function enables the output of a summary of the rule induction methods.

Usage

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## S3 method for class 'RuleSetFRST'
summary(object, ...)

Arguments

object

a "RuleSetFRST" object. See RI.hybridFS.FRST and RI.GFRS.FRST.

...

the other parameters.

Value

a description that contains the following information:

Author(s)

Lala Septem Riza

Examples

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###########################################################
## Example 1: Regression problem
###########################################################
data(RoughSetData)
decision.table <- RoughSetData$housing7.dt

control <- list(type.aggregation = c("t.tnorm", "lukasiewicz"), type.relation =
                c("tolerance", "eq.3"), t.implicator = "lukasiewicz")
res.1 <- RI.hybridFS.FRST(decision.table, control)

summary(res.1)
###########################################################
## Example 2: Classification problem
##############################################################
data(RoughSetData)
decision.table <- RoughSetData$pima7.dt

control <- list(type.aggregation = c("t.tnorm", "lukasiewicz"), type.relation =
                c("tolerance", "eq.3"), t.implicator = "lukasiewicz")
res.2 <- RI.hybridFS.FRST(decision.table, control)

summary(res.2)

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

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