Application of Association Rules Mining in Marketing Decision-Making Based on Rough Set

Applying association rule mining to merchandise marketing decision-making can supply references to optimizing decision-making project. The paper introduces the principle of using rough set in knowledge mining of merchandise marketing. First, consumed market-relevant attributes are simplified by rough set theory. And then, association computation rules based on rough set are constructed to reduce the scale of the decision table. Giving an example, it explains how auto market behavior characters affect result of car sales decision-making.