<?xml version="1.0" encoding="UTF-8"?>
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<title>Advanced Reasoning Group</title>
<link href="http://hdl.handle.net/2160/20" rel="alternate"/>
<subtitle/>
<id>http://hdl.handle.net/2160/20</id>
<updated>2013-05-21T21:26:54Z</updated>
<dc:date>2013-05-21T21:26:54Z</dc:date>
<entry>
<title>Assisting Failure Modes and Effects Analysis of a System</title>
<link href="http://hdl.handle.net/2160/13968" rel="alternate"/>
<author>
<name/>
</author>
<id>http://hdl.handle.net/2160/13968</id>
<updated>2013-05-10T15:59:11Z</updated>
<published>2010-12-16T00:00:00Z</published>
<summary type="text">Assisting Failure Modes and Effects Analysis of a System
International PCT Application
</summary>
<dc:date>2010-12-16T00:00:00Z</dc:date>
</entry>
<entry>
<title>Fuzzy-rough data mining</title>
<link href="http://hdl.handle.net/2160/13828" rel="alternate"/>
<author>
<name>Jensen, Richard</name>
</author>
<id>http://hdl.handle.net/2160/13828</id>
<updated>2013-05-10T15:56:13Z</updated>
<published>2011-12-31T00:00:00Z</published>
<summary type="text">Fuzzy-rough data mining
Jensen, Richard
</summary>
<dc:date>2011-12-31T00:00:00Z</dc:date>
</entry>
<entry>
<title>Rough Sets and Current Trends in Computing : 7th International Conference, RSCTC 2010, Warsaw, Poland, June 28-30,2010. Proceedings</title>
<link href="http://hdl.handle.net/2160/13418" rel="alternate"/>
<author>
<name/>
</author>
<id>http://hdl.handle.net/2160/13418</id>
<updated>2013-05-10T15:43:03Z</updated>
<published>2010-01-01T00:00:00Z</published>
<summary type="text">Rough Sets and Current Trends in Computing : 7th International Conference, RSCTC 2010, Warsaw, Poland, June 28-30,2010. Proceedings
Szczuka, Marcin; Kryszkiewicz, Marzena; Ramanna, Sheela; Jensen, Ricahrd; Hu, Qinghua
</summary>
<dc:date>2010-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Fuzzy Rough Positive Region based Nearest Neighbour Classification</title>
<link href="http://hdl.handle.net/2160/13116" rel="alternate"/>
<author>
<name>Verbiest, Nele</name>
</author>
<author>
<name>Cornelis, Chris</name>
</author>
<author>
<name>Jensen, Richard</name>
</author>
<id>http://hdl.handle.net/2160/13116</id>
<updated>2013-05-10T15:30:44Z</updated>
<published>2012-01-01T00:00:00Z</published>
<summary type="text">Fuzzy Rough Positive Region based Nearest Neighbour Classification
Verbiest, Nele; Cornelis, Chris; Jensen, Richard
This paper proposes a classifier that uses fuzzy rough set theory to improve the Fuzzy Nearest Neighbour (FNN) classifier. We show that previous attempts to use fuzzy rough set theory to improve the FNN algorithm have some shortcomings and we overcome them by using the fuzzy positive region to measure the quality of the nearest neighbours in the FNN classifier. A preliminary experimental evaluation shows that the new approach generally improves upon existing methods.
</summary>
<dc:date>2012-01-01T00:00:00Z</dc:date>
</entry>
</feed>
