@INPROCEEDINGS { Rsds3836,
author = {Stefanowski, Jerzy}, 
title = {Using Valued Closeness Relation in Classification Support of New Objects}, 
booktitle = {Soft Computing}, 
conference = {International Workshop on Rough Sets and Soft Computing}, 
pages = {324--328}, 
publisher = {The Society for Computer Simulation}, 
address = {San Diego, U.S.A.}, 
month = {November}, 
year = 1994, 
editor = {Lin, Tsau Young and Wildberger, A.M.}, 
isbn = {1-56555-077-3}, 
abstract = {The problem of using the decision rule sets in the classification support of new objects is being addressed. The import part of this support is solving cases where the new object matches condition parts of the decision rules in an ambiguous way or it does not match any of them. The valued closeness relation is used in such cases. Several computations experiments on different real-life data sets were performed to evaluate the usefulness of the valued closeness concept. The obtained results are presented and discussed in the paper.}, 
keywords = {machine learning, classification systems, }, 
}