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