@INPROCEEDINGS { Rsds1942,
author = {Suraj, Zbigniew and Peters, James F. and Delimata, Pawel and Szostek, Grazyna}, 
title = {Classification of Meteorological Volumetric Radar Data Using Hybrid Methods}, 
booktitle = {Soft Computing, Tools, Techniques and Applications}, 
pages = {321-338}, 
year = 2004, 
abstract = {This paper reports on a hybrid approach to classifying meteorological volumetric radar data used to detect storm events responsible for severe weather during summertime. A different classification strategy techniques based on among others rough sets and distance function, rough sets and neural networks have been considered and compared to determine which approach will best classify the volumetric storm cell data coming from the Radar Decision Support System database of Environment Canada}, 
keywords = {classification, neural networks, rough sets, k-NN method, rough membership function, }, 
}