@ARTICLE { Rsds3603,
author = {Kortelainen, Jari}, 
title = {Applying modifiers to knowledge acquisition}, 
journal = {Information Sciences: An International Journal}, 
number = 	{(no. 1-4)}, 
volume = 134, 
pages = {39-51}, 
publisher = {Elsevier Science Inc.}, 
address = {Amsterdam, The Netherlands}, 
month = {May}, 
year = 2001, 
issn = {0020-0255}, 
abstract = {The paper presents an approach to apply modifiers to knowledge acquisition. Modifiers are defined in this paper by means of binary relations (and their converse relations) corresponding to L-fuzzy sets, and modifiers are used to acquire topologies corresponding to L-fuzzy sets. These topologies are used to detect dependencies of attributes in information systems with respect to gradual rules as in [J. Kortelainen, Control Cybernet. 28 (1999) 121-131]. In the case of many gradual rules a combined topological degree of dependence is defined. Finally, a more general version of the example presented in J. Kortelainen (loc.cit.) is studied.}, 
keywords = {data analysis, knowledge acquisition, L-fuzzy sets, modifier logic, rough sets, topology, }, 
}