roughsetConsistency: Rough Set consistency measure

In FSinR: Feature Selection in R

Rough Set consistency measure

Description

Generates an evaluation function that calculates the rough sets consistency value \insertCitePawlak1982FSinR \insertCitePawlak1991FSinR, using hash tables (set measure). This function is called internally within the filterEvaluator function.

Usage

roughsetConsistency()

Value

Returns a function that is used to generate an evaluation set measure using the rough sets consistency value for the selected features.

Author(s)

Adan M. Rodriguez

References

\insertAllCited

Examples

 

## The direct application of this function is an advanced use that consists of using this 
# function directly to evaluate a set of features
## Classification problem

data("Titanic")
titanic <- as.data.frame(Titanic)

# A discrete dataset is used (in this case we use only several discrete columns)
titanic_subset <- titanic[, c("Class", "Sex", "Age", "Survived")]

# Generate the evaluation function with Rough Set Consistency
rsc_evaluator <- roughsetConsistency()
# Evaluate the features (parameters: dataset, target variable and features)
rsc_evaluator(titanic_subset, "Survived", c("Class", "Sex", "Age"))

FSinR documentation built on Nov. 5, 2025, 5:24 p.m.