DocumentCode
2642416
Title
Fuzzy decision tree FID
Author
Janikow, Cezary Z. ; Kawa, Krzysztof
Author_Institution
Math & Comput. Sci. Dept., Univ. of Missouri-St. Louis, St. Louis, MO, USA
fYear
2005
fDate
26-28 June 2005
Firstpage
379
Lastpage
384
Abstract
FID fuzzy decision tree has been introduced in 1996. It is a classification system, implementing the popular and efficient recursive partitioning technique of decision trees, while combining fuzzy representation and approximate reasoning for dealing with noise and language uncertainty. Since its introduction, various extensions have been proposed, implemented, and presented, with the most recent revision FID3.4 just released. This paper illustrates its processing using a standard example.
Keywords
decision trees; fuzzy set theory; inference mechanisms; pattern classification; uncertainty handling; FID3.4; approximate reasoning; classification system; fuzzy decision tree; fuzzy representation; language uncertainty; recursive partitioning technique; Classification tree analysis; Computer science; Data mining; Decision trees; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Testing; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society, 2005. NAFIPS 2005. Annual Meeting of the North American
Print_ISBN
0-7803-9187-X
Type
conf
DOI
10.1109/NAFIPS.2005.1548565
Filename
1548565
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