@INPROCEEDINGS { Rsds2268,
author = {Suraj, Zbigniew}, 
title = {Discovering Concurrent Data Models and Decision Algorithms from Data: A Rough Set Approach}, 
booktitle = {Proceedings of the First International Computer Engineering Conference "New Technologies for the Information Society" (ICENCO'2004)}, 
conference = {Workshop on Synthesis of Intelligent Agent Systems from Experimental Data}, 
pages = {677--682}, 
publisher = {Cairo University}, 
address = {Cairo, Egypt}, 
year = 2004, 
editor = {Shaheen, Samir}, 
abstract = {The aim of the paper is to present a new methodology of discovering concurrent data models and decision algorithms from experimental data tables. This methodology is mainly based on rough sets, fuzzy sets, and Petri nets. The presented methodology is illustrated by two intuitive examples.}, 
keywords = {rough sets, fuzzy sets, concurrent models, Petri nets, knowledge discovery, data mining, system decomposition, approximate reasoning, }, 
}