@INPROCEEDINGS { Rsds4219,
author = {Zeng, Xiaohui and Lan, Hengyou and Zeng, Huanglin}, 
title = {Redundant Data Processing Based on Rough-Fuzzy Approach}, 
booktitle = {Rough Sets and Knowledge Technology}, 
conference = {Rough Sets and Knowledge Technology}, 
series =  = {Lecture Notes in Computer Science}, 
volume = 4062, 
pages = {156--161}, 
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 = {In this paper, we will try to use fuzzy approach to deal with either incomplete or imprecise even ill-defined database and to use the concepts of rough sets to define equivalence class encoding input data, and eliminate redundant or insignificant attributes in data sets, and incorporate the significant factor of the input feature corresponding to output pattern classification to constitute a class membership function which enhances a mapping characteristic for each of object in the input space belonging to consequent class in the output space.}, 
keywords = {ill-defined database, rough sets, fuzzy approach, redundant data, rough-fuzzy, }, 
}