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
Link To Document :
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