<?xml version="1.0" encoding="UTF-8"?>
<XML><RECORDS>
<RECORD>
	<REFERENCE_TYPE>31</REFERENCE_TYPE>
	<AUTHORS>
		<AUTHOR>David Nettleton</AUTHOR>
		<AUTHOR>Hernandez, L</AUTHOR>
	</AUTHORS>
	<YEAR>1999</YEAR>
	<TITLE>Evaluating reliability and relevance for WOWA aggregation of Sleep Apnea case data</TITLE>
	<SECONDARY_TITLE>Congress of the European Society of Fuzzy Logic and Technology - EUSFLAT '99</SECONDARY_TITLE>
	<PLACE_PUBLISHED>Palma de Mallorca</PLACE_PUBLISHED>
	<PAGES>283-286</PAGES>
	<KEYWORDS>
		<KEYWORD>sleep</KEYWORD>
		<KEYWORD>apnea</KEYWORD>
		<KEYWORD>diagnosis,</KEYWORD>
		<KEYWORD>questionnaire</KEYWORD>
		<KEYWORD>responses,</KEYWORD>
		<KEYWORD>WOWA</KEYWORD>
		<KEYWORD>aggregation,</KEYWORD>
		<KEYWORD>clustering,</KEYWORD>
		<KEYWORD>classification,</KEYWORD>
		<KEYWORD>reliability,</KEYWORD>
		<KEYWORD>relevance.</KEYWORD>
	</KEYWORDS>
	<ABSTRACT>In this article, joint medical and data
analysis expertise is brought to bear using
contrasting data analysis methods and the
WOWA aggregation operator to solve a
difficult medical diagnosis problem, that of
sleep apnea syndrome screening. We
describe a method of calculating the
relevance and reliability weights used by
the WOWA operator.
</ABSTRACT>
</RECORD>
</RECORDS></XML>