Knowledge granulation in incomplete information systems

In this paper, a new measure of knowledge granulation for incomplete information systems is proposed, which is characterized by mathematical expectation of lengths of granules. We also discuss some important properties. From these properties, it can be shown that the proposed knowledge granulation provides important approaches to measuring the discernibility of different knowledge. It may be helpful for rule evaluation and knowledge discovery in incomplete information systems.