decisionTable: DECISION TABLE
In albhasan/RoughSetKnowledgeReduction: Simplification of Decision Tables using Rough Sets
Description
Usage
Arguments
Value
Author(s)
References
See Also
Examples
Description
User friendly constructor of an instance of the class Decision Table.
Usage
1
decisionTable(theDecisionTable)
Arguments
theDecisionTable
A numeric matrix representing a decision table
Value
It returns a Decision Table object.
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
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)
dt <- decisionTable(exampleMatrix1)
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
User friendly constructor of an instance of the class Decision Table.
Usage
1 | decisionTable(theDecisionTable)
|
Arguments
theDecisionTable |
A numeric matrix representing a decision table |
Value
It returns a Decision Table object.
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 | 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)
dt <- decisionTable(exampleMatrix1)
|
R Package Documentation
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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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