DocumentCode :
443964
Title :
Generalizing quotient space theory from structural viewpoint
Author :
Chen, Wan L. ; Cheng, Jia X.
Author_Institution :
Key Lab. of Intelligent Comput. & Signal Process., Anhui Univ., Hefei, China
Volume :
1
fYear :
2005
fDate :
25-27 July 2005
Firstpage :
121
Abstract :
Quotient space theory of problem solving, a formal model of granular computing, is generalized in the sense that topological structure is replaced by Cech´s closure space. Some basic issues of granular computing, such as the representation of real world at different levels of granularity, property preserving and the construction of granular world, are discussed in detail. It turns out that most of conclusions of the classical quotient space theory keep being valid, so intension and applicable fields are enriched and enlarged respectively.
Keywords :
problem solving; rough set theory; topology; Cech closure space; granular computing; problem solving; quotient space theory; topological structure; Artificial intelligence; Humans; Intelligent structures; Lattices; Path planning; Problem-solving; Processor scheduling; Set theory; Signal processing; Topology; Closure Space; Granular Computing; Quotient Space Theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Granular Computing, 2005 IEEE International Conference on
Print_ISBN :
0-7803-9017-2
Type :
conf
DOI :
10.1109/GRC.2005.1547248
Filename :
1547248
Link To Document :
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