AN ALGORITHM FOR COMPUTING IMPORTANT RULES IN DYNAMIC CONSISTENT DECISION SYSTEM INFORMATION

Abstract

Knowledge in an information system evolves with its dynamical environment. Rough set analysis are closely related with accuracy and coverage. In this paper, the characteristics of accuracy and coverage are further investigated for computing important rules in dynamic consistent decision system information. A new algorithm of interesting knowledge based on both accuracy and coverage is proposed for dynamic information systems. A case study validates the feasibility of the proposed method.