DocumentCode
1750654
Title
Information granules in spatial reasoning
Author
Peters, James ; Skowron, Andrzej ; Stepaniuk, Jaroslaw
Author_Institution
Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada
Volume
3
fYear
2001
fDate
25-28 July 2001
Firstpage
1355
Abstract
The authors consider schemes of approximate reasoning approaches to transforming of information granules from different information sources. By tuning the parameters of schemes, the information granules representing patterns relevant to given tasks can be generated. More specifically, the authors discuss foundations of a calculus on information granules developed on the basis of rough set and rough mereological approaches
Keywords
rough set theory; spatial reasoning; uncertainty handling; approximate reasoning; granular computing; information granule transformation; information sources; parameter tuning; rough mereological approaches; rough set theory; spatial reasoning; Calculus; Computer science; Information processing; Intelligent systems; Mathematics; Object recognition; Path planning; Rough sets; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-7078-3
Type
conf
DOI
10.1109/NAFIPS.2001.943746
Filename
943746
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