computeDiscernibilityMatrix: COMPUTE DISCERNIBILITY MATRIX

In RoughSetKnowledgeReduction: Simplification of Decision Tables using Rough Sets

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

It returns an object of the class DiscernibilityMatrix.

Author(s)

Alber Sanchez [e-mail]

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)

Example output

RoughSetKnowledgeReduction documentation built on May 2, 2019, 4 p.m.