DocumentCode :
444012
Title :
The quotient structure in granule computing
Author :
Zhao, Shu ; Zhang, Yan-ping ; Zhang, Ling ; Chen, Jie ; Wan, Zhong ; Zhang, Ying-Chun ; Zhang, Chen-Xi
Author_Institution :
Key lab. of Intelligent Comput. & Signal Process. of Ministry of Educ., Anhui Univ., Hefei, China
Volume :
1
fYear :
2005
fDate :
25-27 July 2005
Firstpage :
359
Abstract :
The theory of granule computing based on the quotient space is one of the three main granule computing theories. The emphasis is on the structure of the quotient space theory in this paper. Comparing with rough set theory, the authors point out the importance of the structure in granule computing theory. A new method of constructing quotient space according to the structure is also presented in this paper. The differences between the quotient structure and structure-based method are proved. Finally, some examples show the rationality and feasibility of our methods.
Keywords :
problem solving; rough set theory; granule computing theory; problem solving; quotient space theory; quotient structure; rough set theory; Artificial intelligence; Cognitive science; Expert systems; Humans; Problem-solving; Set theory; Signal processing; Switches; Switching circuits; Technological innovation; granule computing; quotient space theory; quotient structure; rough set;
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.2005.1547304
Filename :
1547304
Link To Document :
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