Rough data and rough data law recognition

Author

Changjing, Lu ; Kaiquan, Shi

Author_Institution

Depart of Math. & Comput. Sci., Sanming Coll., Sanming, China

Volume

1

fYear

2008

fDate

17-19 Nov. 2008

Firstpage

934

Lastpage

939

Abstract

S-rough sets (singular rough sets) theory was proposed by improving Z.Pawlak rough sets theory. S-rough set has dynamic characteristics, since it is defined by R -element equivalence class[x] which has dynamic characteristic. The concept of rough data was presented by employing S-rough sets, and rough data has dynamic characteristic, furthermore, the rough data law generation is given. Based on the concepts above, the generation theorem and the reversion theorem of rough data law, the recognition principle of rough data law, and the discernible theorem of rough data law were given, finally the applications of rough data law in risk investment system are presented.

Keywords

data analysis; equivalence classes; investment; risk analysis; rough set theory; R-element equivalence class; S-rough sets; risk investment system; rough data law recognition; singular rough sets theory; Character generation; Computer science; Educational institutions; Information systems; Intelligent systems; Investments; Knowledge engineering; Polynomials; Rough sets; Shape; dual of one direction S-rough sets; law recognition; one direction S-rough sets; rough data; rough data law;

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.2008.4731063

Filename

4731063