A new uncertainty measure of knowledge in incomplete information systems
Renpu Li, Dao Zheng Huang · 2005
In this paper, the problem of estimating the uncertainty of knowledge in incomplete information systems is studied. Some limitations of the previous measure - rough entropy are first analyzed and then a new measure called incomplete entropy is presented. Compared with rough entropy, incomplete entropy can be used in both incomplete and complete information system and has more precise estimation for uncertainty of knowledge in incomplete information systems.