computeDiscernibilityMatrix-methods: Methods for Function 'computeDiscernibilityMatrix'
In RoughSetKnowledgeReduction: Simplification of Decision Tables using Rough Sets
Description
Methods for function computeDiscernibilityMatrix
Methods
signature(object = "DecisionTable")-
This method computes the discernibility matrix of a Decision Table object. A Discernibility Matrix object is a 3 dimension boolean array where each element represents if there is a difference in the same condition of each pair of rules in a Decision Table object. A discernibility matrix is useful for calculating the core of a decision table.
RoughSetKnowledgeReduction documentation built on May 2, 2019, 4 p.m.
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Description
Methods for function computeDiscernibilityMatrix
Methods
signature(object = "DecisionTable")-
This method computes the discernibility matrix of a Decision Table object. A Discernibility Matrix object is a 3 dimension boolean array where each element represents if there is a difference in the same condition of each pair of rules in a Decision Table object. A discernibility matrix is useful for calculating the core of a decision table.
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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