@ARTICLE { Rsds534,
author = {Pawlak, Zdzislaw and Slowinski, Roman}, 
title = {Decision analysis using rough sets}, 
journal = {International Transactions in Operational Research}, 
number = 	{(no. 1)}, 
volume = 1, 
pages = {107-114}, 
publisher = {Elsevier Science Inc.}, 
address = {Amsterdam, The Netherlands}, 
month = {January}, 
year = 1994, 
abstract = {We show that the rough set theory is a useful tool for analysis of decision situations, in particular multi-criteria sorting problems. It deals with vagueness in the representation of a decision situation, caused by granularity of the representation. The rough set approach produces a set of decision rules involving a reduced number of most important criteria. It does not correct vagueness manifested in the representation; instead, the rules produced are categorized into deterministic and non-deterministic. The set of decision rules explains the decision situation and may be used to support new decisions. An example illustrates the rough set analysis of a multi-criteria sorting problem.}, 
keywords = {decision analysis, rough set theory (RST), vagueness, multiple criteria, }, 
}