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
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;
Conference_Titel :
Fuzzy Information Processing Society, 2005. NAFIPS 2005. Annual Meeting of the North American
Print_ISBN :
0-7803-9187-X
DOI :
10.1109/NAFIPS.2005.1548565
