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
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