Axiomatic definition of knowledge granularity and its constructive method

Authors:
Ming-Qing Zhao;Qiang Yang;De-Zhi Gao
Affiliations:
College of Information Science and Engineering, Shandong University of Science and Technology, Qingdao, Shandong, P.R. China;College of Information Science and Engineering, Shandong University of Science and Technology, Qingdao, Shandong, P.R. China;College of Information Science and Engineering, Shandong University of Science and Technology, Qingdao, Shandong, P.R. China
Venue:
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
Year:
2008

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Abstract

Granular computing has impact on development methods in such areas as knowledge discovery and data mining. This paper firstly presents a new axiomatic definition of knowledge granularity, then gives a series of methods of measuring knowledge granularity including concrete measurements lacking parameters and general measurements with parameters. Furthermore, several combinatorial forms of different granularity formulas are described. The principal results seem to have some theoretic and applied value to build granularity computation in information system.