Abstract
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.
Original language | English |
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Title of host publication | Proceedings of SPIE - The International Society for Optical Engineering |
Pages | 728-737 |
Number of pages | 10 |
Volume | 6104 |
Publication status | Published - 2006 |
Event | High-Power Diode Laser Technology and Applications IV - San Jose, CA, United States Duration: Jan 23 2006 → Jan 25 2006 |
Other
Other | High-Power Diode Laser Technology and Applications IV |
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Country/Territory | United States |
City | San Jose, CA |
Period | 1/23/06 → 1/25/06 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Condensed Matter Physics