A granular computing approach to inducing rules in incomplete information systems
Haiyan Yu, Daoping Wang · 2007
Generally, two ways are used to handle null value in incomplete information systems.One is transforming an incomplete system to a complete system.The other is process the incomplete information table based on toleration relation.In this paper we propose a method to process the incomplete information table based on granular computing directly.The incomplete information table is divided into granules only use the known value of instances.The rules are generated based on the granules.