@INPROCEEDINGS { Rsds4648,
author = {Polkowski, Lech T. and Artiemjew, Piotr}, 
title = {Rough Mereology in Classification of Data: Voting by Means of Residual Rough Inclusions}, 
booktitle = {Proceedings of the Sixth International Conference on Rough Sets and Current Trends in Computing (RSCTC'2008)}, 
conference = {Rough Sets and Current Trends in Computing}, 
series =  = {Lecture Notes in Artificial Intelligence}, 
volume = 5306, 
pages = {113--120}, 
publisher = {Springer-Verlag}, 
address = {Heidelberg - Berlin, Germany}, 
month = {November}, 
year = 2008, 
abstract = {In this work, we pursue the theme of applications of rough mereology, presenting a scheme for classifier construction by voting of training objects, exhaustive set of rules, and granules of training objects according to weights assigned by residual rough inclusions. The results show a high effectiveness of this approach as witnessed by the reported tests with some well-known data sets from UCI repository whose results are compared against the standard rough set exhaustive classifier.}, 
keywords = {granulation of knowledge, rough inclusions, residual implications, granular decision systems, }, 
}