@TECHREPORT { Rsds2277,
author = {Skowron, Andrzej and Suraj, Zbigniew}, 
title = {A Rough Set Approach to Real-Time State Identification for Decision Making}, 
journal = {ICS Research Report}, 
volume = 18/93, 
pages = {1--27}, 
publisher = {Institute of Computer Science, Warsaw University of Technology}, 
address = {Warsaw, Poland}, 
year = 1993, 
abstract = {We consider decision tables ([Pawlak,1991], [Skowron&Grzymala-Busse,1992], [Skowron&Rauszer92]) assuming that values (local states) of conditions are measured by sensors. These sensors produce outputs after an unknown (but finite) number of time units. We construct an algorithm for computing a highly parallel program (represented by a Petri net from a given decision table. Our approach is based on rough set theory. The constructed net allows to identify global states (objects in decision tables) to an extent which makes possible to take an appropriate decision. The outputs from sensors are propagated through the net with maximal speed. This is done by an appropriate implementation of all decision rules true in a given decision table. Our approach seems to have some significance for theoretical foundations of real-time systems.}, 
keywords = {real-time systems, information systems, rough sets, decision rules, Petri nets, }, 
}