DocumentCode
2553829
Title
Granule, similarity and decision table of knowledge reduction algorithm
Author
Lin, He ; Zou, Pingji
Author_Institution
Sch. of Inf. Sci. & Eng., Lanzhou Univ., LZU, Lanzhou, China
fYear
2012
fDate
29-31 May 2012
Firstpage
811
Lastpage
815
Abstract
To a granule and granular computing calculated based on the Rough sets knowledge reduction to study the idea through the use of granular computing attribute similarity is defined, and some algorithms were compared. Finally experimental results show that this method has a good reduction effects and lower execution time.
Keywords
decision theory; granular computing; knowledge engineering; rough set theory; decision table; granular computing attribute similarity; rough sets knowledge reduction; Algorithm design and analysis; Approximation methods; Complexity theory; Databases; Decision making; Rough sets; Granular Computing; Granule; Information Table; Knowledge Reduction; Similarity;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
Conference_Location
Sichuan
Print_ISBN
978-1-4673-0025-4
Type
conf
DOI
10.1109/FSKD.2012.6234375
Filename
6234375
Link To Document