Title :
General Measure of Knowledge Granularity in Incomplete Information System
Author :
Lei, Zhao ; Mingqing, Zhao
Author_Institution :
Shandong Univ. of Sci. & Technol., Qingdao, China
Abstract :
This essay introduces the concepts of knowledge granularity and information system. On this basis, we propose two new more general knowledge granularities: the combination granularity and polynomial granularity, which include the current common knowledge granularity. And discuss the use of their combination. The results for the establishment of granular computing in the incomplete information system have some theoretical significance and practical values.
Keywords :
granular computing; information systems; combination granularity; common knowledge granularity; granular computing; incomplete information system; polynomial granularity; Computational modeling; Entropy; Information systems; Knowledge representation; Pattern recognition; Polynomials; Rough sets; incomplete information system; knowledge granularity; rough sets;
Conference_Titel :
Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9247-3
DOI :
10.1109/GCIS.2010.109
