checkConsistency: CHECK CONSISTENCY
In albhasan/RoughSetKnowledgeReduction: Simplification of Decision Tables using Rough Sets
Description
Usage
Arguments
Value
Author(s)
References
See Also
Examples
Description
It checks if the rules in a Decision Table object are consistent or inconsistent. A couple of rules are inconsistent if they have the same conditions and different decision; if they have the same decision they are consistent; if they have different conditions no matter the decision they are consistent.
Usage
1
checkConsistency(object)
Arguments
object
A Decision Table object
Value
It returns a boolean vector indicating which rules are inconsistent or contradictory in the decision table given. It is a summary of the consistency matrix.
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
DecisionTable-class,computeConsistencyMatrix
Examples
1
2
3
4
exampleMatrix1 <- matrix(c(1,0,2,1,1,2,2,0,0,1,0,1,0,2,1,
1,2,1,0,0,2,0,1,1,2,1,1,2,0,1,1,0,0,2,1,2,1,1,2,1),ncol = 5)
ruleConsistencyDT <- new(Class="DecisionTable",decisionTable = exampleMatrix1)
ruleConsistencyResults <- checkConsistency(ruleConsistencyDT)
albhasan/RoughSetKnowledgeReduction documentation built on May 11, 2019, 10:29 p.m.
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Description Usage Arguments Value Author(s) References See Also Examples
Description
It checks if the rules in a Decision Table object are consistent or inconsistent. A couple of rules are inconsistent if they have the same conditions and different decision; if they have the same decision they are consistent; if they have different conditions no matter the decision they are consistent.
Usage
1 | checkConsistency(object)
|
Arguments
object |
A Decision Table object |
Value
It returns a boolean vector indicating which rules are inconsistent or contradictory in the decision table given. It is a summary of the consistency matrix.
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
DecisionTable-class,computeConsistencyMatrix
Examples
1 2 3 4 | exampleMatrix1 <- matrix(c(1,0,2,1,1,2,2,0,0,1,0,1,0,2,1,
1,2,1,0,0,2,0,1,1,2,1,1,2,0,1,1,0,0,2,1,2,1,1,2,1),ncol = 5)
ruleConsistencyDT <- new(Class="DecisionTable",decisionTable = exampleMatrix1)
ruleConsistencyResults <- checkConsistency(ruleConsistencyDT)
|
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