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
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;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
Conference_Location :
Sichuan
Print_ISBN :
978-1-4673-0025-4
DOI :
10.1109/FSKD.2012.6234375
