@INPROCEEDINGS { Rsds4518,
author = {Shao, Ming-Wen}, 
title = {A Complete Method to Incomplete Information Systems}, 
booktitle = {Proceedings of the Second International Conference on Rough Sets and Knowledge Technology (RSKT'2007)}, 
conference = {Rough Sets and Knowledge Technology}, 
series =  = {Lecture Notes in Artificial Intelligence}, 
volume = 4481, 
pages = {50--59}, 
publisher = {Springer-Verlag}, 
address = {Heidelberg - Berlin, Germany}, 
year = 2007, 
editor = {Yao, Jing Tao and Lingras, Pawan and Wu, Wei-Zhi and Szczuka, Marcin and Cercone, N. and Slezak, Dominik}, 
isbn = {978-3-540-72457-5}, 
abstract = {In the paper, we present a novel method for handling incomplete information systems. By the proposed method we can transform an incomplete information system into a complete set-value information system without loss any information, and we discuss the relationship between the reducts of incomplete information system and the reducts of it's complements. For incomplete decision tables, we introduce two complete methods according to different criterions of certain factor of decision rules, i.e., maximal sum complement and maximal conjunction complement of certain factor of decision rules.}, 
keywords = {rough sets, incomplete information systems, knowledge reduction, }, 
}