@INPROCEEDINGS { Rsds4857,
author = {Qin, Keyun and Li, Tian-rui and Yang, Lingxiao and Wu, Zhengjiang}, 
title = {The Basis Algebra in L-Fuzzy Rough Sets}, 
booktitle = {Rough Sets and Knowledge Technology}, 
conference = {Rough Sets and Knowledge Technology}, 
series =  = {Lecture Notes in Artificial Intelligence}, 
volume = 5589, 
pages = {320--325}, 
publisher = {Springer-Verlag}, 
address = {Heidelberg - Berlin, Germany}, 
month = {July}, 
year = 2009, 
editor = {Wen, Peng and Li, Yuefeng and Polkowski, Lech and Yao, Yiyu and Tsumoto, Shusaku and Wang, Guoying}, 
url = {http://www.springerlink.com/content/q0857121u072/?p=fc4581dabf904891bbe1f9cc3f4fdd0d&pi=313}, 
issn = {0302-9743}, 
isbn = {978-3-642-02961-5}, 
abstract = {The basis algebra and the binary relation are two important notions in the constructive approach of approximation operators in rough sets theory. This paper discusses the influence of the basis algebra on the properties of approximation operators. The properties of approximation operators based on residuated lattice, IMTL algebra and boolean algebra are presented respectively. Then, the influence of basic algebra on the properties of L-fuzzy rough approximation operators is shown through two examples.}, 
keywords = {rough sets, basis algebra, residuated lattice, }, 
}