Rough law generation and the discovery of F - rough law*

Author

Jinming, Qiu ; Changjing, Lu ; Kaiquan, Shi

Author_Institution

Dept. of Math. & Comput. Sci., Sanming Univ., Sanming, China

Volume

1

fYear

2008

fDate

17-19 Nov. 2008

Firstpage

957

Lastpage

962

Abstract

For dynamic system law mining, according to function two direction S-rough sets, this paper presents the concepts of law generation and F-law relation metric; by using these concepts, this paper proposes characteristic theorem of F-rough law relation metric, dependence theorem of F-rough law relation metric, the principle of F-rough law discovery and gives the application of F-rough law in profit risk analysis. The results show that function S-rough sets is an important approach to mine the unknown system law.

Keywords

data mining; number theory; profitability; risk analysis; rough set theory; F-rough law discovery principle; F-rough law relation metric; dependence theorem; dynamic system law mining; number set; profit risk analysis; rough law generation; two-direction function S-rough set; Character generation; Computer science; Intelligent systems; Investments; Knowledge engineering; Mathematics; Risk analysis; Rough sets; System performance; Transfer functions; F -rough law; Function two direction S-rough sets; The discovery principle of F -rough law; rough law relation metric;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent System and Knowledge Engineering, 2008. ISKE 2008. 3rd International Conference on

Conference_Location

Xiamen

Print_ISBN

978-1-4244-2196-1

Electronic_ISBN

978-1-4244-2197-8

Type

conf

DOI

10.1109/ISKE.2008.4731067

Filename

4731067