Axiomatic Definition and Measure Method of Knowledge Granularity in Incomplete Information System
ZHAO Ming-Qing1, YANG Qiang1,2
College of Information Science and Engineering, Shandong University of Science and Technology, Qingdao 266510 College of Information Management, Yantai Nanshan University, Yantai 265713
Abstract:An axiomatic definition of knowledge granularity in incomplete information system is presented. A series of methods of measuring knowledge granularity are proposed, including concrete measurements lacking parameters and general measurements with parameters. The sizes of three knowledge granularities are compared. Furthermore, four combinatorial forms of different granularity formulas are described. The presented methods of measuring knowledge granularity have high theoretic and practical values to granularity computation building in information system.
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