RoughSetKnowledgeReduction (version 0.1)

computeDiscernibilityMatrix: COMPUTE DISCERNIBILITY MATRIX

Description

It computes the Discernibility Matrix object of a Decision Table object. The Discernibility Matrix object is made of rule condition differences on a Decision Table object.

Usage

computeDiscernibilityMatrix(object)

Arguments

object

A Decision Table object

Value

References

Pawlak, Zdzislaw 1991 Rough Sets: Theoretical Aspects of Reasoning About Data Dordrecht: Kluwer Academic Publishing.

See Also

DecisionTable-class,DiscernibilityMatrix-class,computeCore

Examples

exampleMatrix2 <- matrix(c(1,1,0,1,1,2,2,0,0,0,1,1,1,2,0,
0,0,0,0,0,2,1,0,0,1,2,2,2,1,1,0,0,2,2,2),ncol = 5)
disMatDT <- new(Class="DecisionTable",decisionTable = exampleMatrix2)
dm <- computeDiscernibilityMatrix(disMatDT)