@INPROCEEDINGS { Rsds4232,
author = {Yao, Bingxue and Shi, Kai-quan}, 
title = {Function S-Rough Sets and Recognition of Financial Risk Laws}, 
booktitle = {Rough Sets and Knowledge Technology}, 
conference = {Rough Sets and Knowledge Technology}, 
series =  = {Lecture Notes in Computer Science}, 
volume = 4062, 
pages = {247--253}, 
publisher = {Springer-Verlag}, 
address = {Heidelberg - Berlin, Germany}, 
year = 2006, 
editor = {Wang, Guoying and Peters, James F. and Skowron, Andrzej and Yao, Yiyu}, 
isbn = {978-3-540-36297-5}, 
abstract = {Recognition of financial risk (investment risk and profit risk) has attracted more and more attention of investors, because each investor is threaten by the financial risk. Function S-rough set (function singular rough set) has law characteristic and the law has heredity characteristic. Using function S-rough set, this paper advances the recognition of financial risk law and gives its recognition model and an application example. Function S-rough set is defined by R-function equivalence class [u], ui?[u] is a function (or a law). Function S-rough set is the general form of S-rough set (singular rough set) and S-rough set is the special case of function S-rough set. The results of this paper have lots of important applications.}, 
keywords = {function one direction s-rough set, financial risk law, aw recognition model, law heredity, law mining, applications, }, 
}