simplifyDecisionTable: SIMPLIFY DECISION TABLE
In RoughSetKnowledgeReduction: Simplification of Decision Tables using Rough Sets
Description
Usage
Arguments
Value
Author(s)
References
See Also
Examples
Description
It returns a Value Reduct object which is the smallest and first found on the Decision Table object.
Usage
1
simplifyDecisionTable(object)
Arguments
object
A Decision Table object
Value
It returns a Value Reduct computed from the first condition reduct found in the decision table.
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
Examples
1
2
3
4
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)
dt <- new(Class="DecisionTable",decisionTable = exampleMatrix2)
vr <- simplifyDecisionTable(dt)
Example output
RoughSetKnowledgeReduction documentation built on May 2, 2019, 4 p.m.
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Description Usage Arguments Value Author(s) References See Also Examples
Description
It returns a Value Reduct object which is the smallest and first found on the Decision Table object.
Usage
1 | simplifyDecisionTable(object)
|
Arguments
object |
A Decision Table object |
Value
It returns a Value Reduct computed from the first condition reduct found in the decision table.
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
Examples
1 2 3 4 | 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)
dt <- new(Class="DecisionTable",decisionTable = exampleMatrix2)
vr <- simplifyDecisionTable(dt)
|
Example output
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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