A Measure Method for Indiscernibility in Imperfect Information System
Jiye Liang, Jifang Pang · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2006
Traditionally, the information system is assumed to be perfect, i.e. attribute values are not missing and supposed to be precise.In fact, imperfect information system is always existent.In this paper, based on imperfect information system (include missing data and imprecise data), the concepts of indiscernibility and discernibility are defined, their important properties are given, and the relationship between those concepts is established.These results will be helpful for measuring the indiscernibility of knowledge, and have instructive significance for studying for knowledge acquisition in imperfect information system.