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

Volume

3

fYear

2005

fDate

18-21 Aug. 2005

Firstpage

1858

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on

Conference_Location

Guangzhou, China

Print_ISBN

0-7803-9091-1

Type

conf

DOI

10.1109/ICMLC.2005.1527248

Filename

1527248