Title :
Rough data and rough data law recognition
Author :
Changjing, Lu ; Kaiquan, Shi
Author_Institution :
Depart of Math. & Comput. Sci., Sanming Coll., Sanming, China
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;
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
DOI :
10.1109/ISKE.2008.4731063
