computeCore: COMPUTE CORE

Description Usage Arguments Value Author(s) References See Also Examples

Description

It computes the core conditions of a Decision Table object using a Discernibility Matrix object.

Usage

1
computeCore(object)

Arguments

object

A Discernibility Matrix object

Value

It returns a numeric vector indicating the columns ids which are the core of the Decision Table object from which the Discernibility Matrix object was created.

Author(s)

Alber Sanchez alber.sanchez@uni-muenster.de

References

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

See Also

DiscernibilityMatrix-class,computeDiscernibilityMatrix,findFirstConditionReduct,findSmallestReductFamilyFromCore,findAllReductsFromCore

Examples

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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)
core <- computeCore(dm)

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