DocumentCode :
1605537
Title :
Granular Computing: Information hiding and integration
Author :
Lin, Tsau Young
Author_Institution :
San Jose State Univ., San Jose, CA
fYear :
2008
Firstpage :
1
Lastpage :
5
Abstract :
Granular compuitng have three semnatic views: uncertainty mathematics, konwledge engineeering and methodology of computing (how-to-solve-it) In this paper, a theoretical issue on "how-to-solve-it" is raised and formalized. Some suprised phenomena are observed; if "information structures" are considered with the universe and granules, then the solution integrations may not be unique. In other words, there may have more than one integrated structures for a given internal structures of granules and quotient structure.
Keywords :
artificial intelligence; data encapsulation; granular computing; information hiding; information integration; knowledge engineering; uncertainty mathematics; Algebra; Biological system modeling; Calculus; Geometry; Humans; Mathematics; Neck; Terminology; Uncertainty; Zoology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Information Processing Society, 2008. NAFIPS 2008. Annual Meeting of the North American
Conference_Location :
New York City, NY
Print_ISBN :
978-1-4244-2351-4
Type :
conf
DOI :
10.1109/NAFIPS.2008.4531352
Filename :
4531352
Link To Document :
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