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
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