@INPROCEEDINGS { Rsds3520,
author = {Slezak, Dominik}, 
title = {Tolerance Dependency Model for Decision Rules Generation}, 
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 = {131--138}, 
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 = {New framework for reasoning in decision tables is presented. Its connections with previous approaches are shown as well. It is based on certain dependency model over the universe of objects. Such model can be induced from tolerance relation over the universe. Obtained system is discussed in view of graphical structures for representation of dependencies.}, 
keywords = {rough sets, decision tables, tolerance relations, conditional independence, dependency models, markov network, Bayesian networks, }, 
}