DocumentCode :
3117372
Title :
Granular computing: A theory of “divide/granulate and conquer“
Author :
Lin, Tsau Young
Author_Institution :
Dept. of Comput. Sci., San Jose State Univ., San Jose, CA
fYear :
2008
fDate :
12-15 Oct. 2008
Firstpage :
2747
Lastpage :
2752
Abstract :
In this paper, foundational issues on ldquodivide/granulate and conquerrdquo are raised and formalized. Namely, could two distinct problems be divided/granulated into the same set of subproblems? Or equivalently, could the same set of subproblems have more than one integrated solutions? To answer these questions, the concept of extension functors in homological algebra is imported. Informally speaking, the ldquomain programrdquo (the high level instructions), called quotient structure, may integrate the ldquoreturns of subroutine calls,rdquo called sub-structure to more than one integrated solutions of the original problem. The extension functor keeps such solution count.
Keywords :
algebra; divide and conquer methods; knowledge engineering; divide and conquer; granular computing; granulate and conquer; homological algebra; Algebra; Algorithms; Cloud computing; Computer science; Fuzzy sets; Grid computing; Humans; Knowledge engineering; Neck; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on
Conference_Location :
Singapore
ISSN :
1062-922X
Print_ISBN :
978-1-4244-2383-5
Electronic_ISBN :
1062-922X
Type :
conf
DOI :
10.1109/ICSMC.2008.4811712
Filename :
4811712
Link To Document :
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