Title :
Knowledge rough recognition on assistant set of two direction S-rough sets and recognition model
Author :
Hu, Hai-Qing ; Yin, Shou-Feng ; Shi, Kai-quan
Author_Institution :
Sch. of Math. & Syst. Sci., Shandong Univ., China
Abstract :
K. Shi (2002) puts forward S-rough sets (singular rough sets), S-rough sets has two kinds of forms as presented in K. Shi (2005): one direction S-rough sets (one direction singular rough sets), two direction S-rough sets (two direction singular rough sets); using assistant set in two direction S-rough sets, this paper gives rough recognition of the upper knowledge family on the assistant set of two direction S-rough sets, recognition model and recognition method, rough recognition of the lower knowledge family on the assistant set of two direction S-rough sets, recognition model and recognition method. It presents knowledge dynamic rough recognition theorem and dynamic rough recognition composition principle. Knowledge rough recognition on assistant set is a new method; it has gotten applied in military object recognition, medical diagnosis recognition and etc.
Keywords :
image recognition; knowledge based systems; object recognition; rough set theory; S-rough sets; assistant set; dynamic rough recognition composition principle; knowledge dynamic rough recognition theorem; knowledge rough recognition; medical diagnosis recognition; military object recognition; singular rough sets; Character recognition; Electronic mail; Fuzzy sets; Mathematical model; Mathematics; Medical diagnosis; Object recognition; Rough sets; Sonar; Underwater vehicles; Assistant set; Dynamic rough recognition; Knowledge family; Recognition composition principle; Recognition model; Recognition theorem; Two direction S-rough sets;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527248
