@ARTICLE { Rsds4015,
author = {Rzasa, Wojciech and Suraj, Zbigniew}, 
title = {Rough Set Analysis of Decision Systems According to the Relaxed Consistency Principle}, 
journal = {International Journal of Information Technology and Intelligent Computing}, 
number = 	{(no. 1)}, 
volume = 1, 
pages = {113--124}, 
publisher = {Academy of Humanites and Economics}, 
address = {Lodz, Poland}, 
year = 2006, 
url = {http://itic.wshe.lodz.pl}, 
issn = {1895-8648}, 
abstract = {The paper includes description of decision system analysis with the use of the rough set theory. The analysis concerns data with nonfunctional dependency between values of decision and values of condition attributes. For such kind of data a new model of reasoning is proposed. It differs in some aspects from the classical model of reasoning based on the indiscernibility relation (CRSA) as well as from the one based on the dominance relation (DRSA). However it is also closely associated with the two mentioned models in the following way: it is a relaxed form of the CRSA in the same sense as the CRSA is a relaxed form of the DRSA. The paper includes two examples of data with non-functional dependency between values of decision and values of condition attributes and a scheme of such data analysis beginning with definitions of granules of knowledge up to an algorithm of decision rules generation.}, 
keywords = {approximate Petri nets, approximate reasoning, knowledge representation, }, 
}