Table representations of granulations revisited pre-topological information tables

I-Jen Chiang, Tsau Young Lin, Yong Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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 languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
Pages728-737
Number of pages10
Publication statusPublished - 2006
EventHigh-Power Diode Laser Technology and Applications IV - San Jose, CA, United States
Duration: Jan 23 2006Jan 25 2006

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6104
ISSN (Print)0277-786X

Other

OtherHigh-Power Diode Laser Technology and Applications IV
Country/TerritoryUnited States
CitySan Jose, CA
Period1/23/061/25/06

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Applied Mathematics
  • Electrical and Electronic Engineering
  • Computer Science Applications

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