@INPROCEEDINGS { Rsds4865,
author = {Li, Huaxiong and Zhou, Xianzhong}, 
title = {A Multi-View Decision Model Based on Decision-Theoretic Rough Set}, 
booktitle = {Rough Sets and Knowledge Technology}, 
conference = {Rough Sets and Knowledge Technology}, 
series =  = {Lecture Notes in Artificial Intelligence}, 
volume = 5589, 
pages = {650--657}, 
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 = {A review of Pawlak rough set models and probabilistic rough set models is presented, and a multi-view decision method based on decision-theoretic rough set model is proposed, in which optimistic decision, pessimistic decision, and indifferent decision are provided according to the cost of misclassification, which are well interpreted based on both practical examples and theoretic analysis.}, 
keywords = {rough set, decision-theoretic rough set model, variable precision rough set model, multi-view decision, }, 
}