Hierarchical information system and its properties

Authors:
Qinrong Feng
Affiliations:
School of Mathematics and Computer Science, Shanxi Normal University, Linfen, Shanxi, P.R. China
Venue:
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
Year:
2010

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Abstract

Starting point of rough set based data analysis is a data set, called an information system, whose columns are labeled by attributes, rows are labeled by objects of interest and entries of the table are attribute values. In fact, hierarchical attribute values exists impliedly in many real-world applications, but it has seldom been taken into consideration in traditional rough set theory and its extensions. In this paper, each attribute in an information system is generalized to a concept hierarchy tree by considering hierarchical attribute values. A hierarchical information system is obtained, it is induced by generalizing a given flat table to multiple data tables with different degrees of abstraction, which can be organized as a lattice. Moreover, we can choose any level for any attribute according to the need of problem solving, thus we can discovery knowledge from different levels of abstraction. Hierarchical information system can process data from multilevel and multiview authentically.