Knowledge approximations in multi-scale ordered information systems

Abstract

The key to granular computing is to make use of granules in problem solving. However, there are different granules at different levels of scale in data sets having hierarchical scale structures. And in real-world applications, there may exist multiple types of data in ordered information systems. Therefore, the concept of multi-scale ordered information systems is first introduced in this paper. The lower and upper approximationsin multi-scale ordered information systems are then defined, and their properties are examined.