@INPROCEEDINGS { Rsds3541,
author = {Susmaga, Robert and Stefanowski, Jerzy and Slowinski, Roman}, 
title = {Rough Set Analysis of Attribute Dependencies In Technical Diagnostics}, 
booktitle = {Proceedings of the Fourth International Workshop on Rough Sets, Fuzzy Sets, and Machine Discovery}, 
conference = {International Workshop on Rough Sets, Fuzzy Sets, and Machine Discovery}, 
pages = {284--291}, 
publisher = {Japanese Research Group on Rough Sets}, 
address = {Tokyo, Japan}, 
month = {November}, 
year = 1996, 
editor = {Tsumoto, Shusaku and Kobayashi, Satoshi and Yokomori, Takashi and Tanaka, Hiroshi and Nakamura, Akira}, 
isbn = {4-947717-01-7}, 
abstract = {Problems with an application of the rough set theory to diagnostic classification of mechanical objects are considered. It is shown on a practical example how the rough set approach can be used to evaluate diagnostic capacity of technical state symptoms and to create a classifier of the technical state based on decision rules. Particular attention is paid to discovery of all strong and reliable decision rules for diagnostic problems. As the diagnostic problems are usually described by continuously valued attributes, a comparative study of the use of several discretization techniques and of their influence on the results of the rough set analysis is performed.}, 
keywords = {rough set theory (RST), attribute dependency, discretization, decision rules, technical diagnostic, }, 
}