TY - GEN
T1 - Table representations of granulations revisited pre-topological information tables
AU - Chiang, I-Jen
AU - Lin, Tsau Young
AU - Liu, Yong
PY - 2006
Y1 - 2006
N2 - This paper examines the knowledge representation theory of granulations. The key strengths of rough set theory are its capabilities in representing and processing knowledge in table format. For general granulation such capabilities are unknown. For single level granulation, two initial theories have been proposed previously by one of the authors. In this paper, the theories are re-visited, a new and deeper analysis is presented: Granular information table is an incomplete representation, so computing with words is the main method of knowledge processing. However for symmetrical granulation, the pre-topological information table is a complete representation, so the knowledge processing can be formal.
AB - This paper examines the knowledge representation theory of granulations. The key strengths of rough set theory are its capabilities in representing and processing knowledge in table format. For general granulation such capabilities are unknown. For single level granulation, two initial theories have been proposed previously by one of the authors. In this paper, the theories are re-visited, a new and deeper analysis is presented: Granular information table is an incomplete representation, so computing with words is the main method of knowledge processing. However for symmetrical granulation, the pre-topological information table is a complete representation, so the knowledge processing can be formal.
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M3 - Conference contribution
AN - SCOPUS:33646000850
SN - 0819461466
SN - 9780819461469
T3 - Proceedings of SPIE - The International Society for Optical Engineering
SP - 728
EP - 737
BT - Proceedings of SPIE - The International Society for Optical Engineering
T2 - High-Power Diode Laser Technology and Applications IV
Y2 - 23 January 2006 through 25 January 2006
ER -