A noval rough set theory-based decision table discretization algorithm
Zhang Jian-jun
Abstract
Zhang Jian-jun
Abstract
The application of the rough set theory in the discretization of the decision table is studied, and a noval discretization algorithm based on the rough set theory is presented. The algorithm of this paper is based on the importance of condition attributes. Firstly, the inter-information between condition attributes and decision attributes is used to measure the importance of condition attributes, according to which the condition attributes are sorted in a descending order. Secondly, all break points of every condition attributes are examined and the redundant ones are eliminated. Finally, each value in the decision table is replaced by a number representing the break point, and then the decision table is discretized.
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The application of the rough set theory in the discretization of the decision table is studied, and a noval discretization algorithm based on the rough set theory is presented. The algorithm of this paper is based on the importance of condition attributes. Firstly, the inter-information between condition attributes and decision attributes is used to measure the importance of condition attributes, according to which the condition attributes are sorted in a descending order. Secondly, all break points of every condition attributes are examined and the redundant ones are eliminated. Finally, each value in the decision table is replaced by a number representing the break point, and then the decision table is discretized.
Key concepts: Rough set, Discretization, Decision table, Discretization of continuous features, Table (database), Mathematics, Dominance-based rough set approach, Set (abstract data type)