2004Unpublished venueRequires access

Reduction of decision values for decision table

Xiaoxia Li, Chen Mian-yun

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Abstract

The reduction of decision attribute set for the decision rules was defined, on which the reduction of decision values for a decision table was defined. The dualistic problem of reduction of condition values in a decision table was investigated. The reduction of decision values in the decision table was used to present the simplest functional relation between the condition attribute set and the decision attribute set, when the condition attribute set keeps constant. The expression for the reduction of decision attribute set in the decision rules and the expression for the reduction of decision values in the decision table were given.

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What this paper is about

The reduction of decision attribute set for the decision rules was defined, on which the reduction of decision values for a decision table was defined. The dualistic problem of reduction of condition values in a decision table was investigated. The reduction of decision values in the decision table was used to present the simplest functional relation between the condition attribute set and the decision attribute set, when the condition attribute set keeps constant. The expression for the reduction of decision attribute set in the decision rules and the expression for the reduction of decision values in the decision table were given.

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Available abstract

The reduction of decision attribute set for the decision rules was defined, on which the reduction of decision values for a decision table was defined. The dualistic problem of reduction of condition values in a decision table was investigated. The reduction of decision values in the decision table was used to present the simplest functional relation between the condition attribute set and the decision attribute set, when the condition attribute set keeps constant. The expression for the reduction of decision attribute set in the decision rules and the expression for the reduction of decision values in the decision table were given.

Key concepts: Decision table, Weighted sum model, Decision rule, Reduction (mathematics), Optimal decision, Admissible decision rule, Decision analysis, Mathematics

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