An initial comparison of a fuzzy neural classifier and a decision tree based classifier
Martens, Jurgen, Wets, Geert, Vanthienen, Jan and Mues, Christophe (1998) An initial comparison of a fuzzy neural classifier and a decision tree based classifier. Expert Systems with Applications, 15, (3-4), 375-381. (doi:10.1016/S0957-4174(98)00057-8).
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At the present time a large number of AI methods have been developed in the field of pattern classification. In this paper, we will compare the performance of a well-known algorithm in machine learning (C4.5) with a recently proposed algorithm in the fuzzy set community (NEFCLASS). We will compare the algorithms both on the accuracy attained and on the size of the induced rule base. Additionally, we will investigate how the selected algorithms perform after they have been pre-processed by discretization and feature selection.
|Subjects:||H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management|
|Divisions:||University Structure - Pre August 2011 > School of Management
|Date Deposited:||01 Aug 2006|
|Last Modified:||02 Mar 2012 12:06|
|Contributors:||Martens, Jurgen (Author)
Wets, Geert (Author)
Vanthienen, Jan (Author)
Mues, Christophe (Author)
|Contact Email Address:||firstname.lastname@example.org|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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