Title :
FID3: fuzzy induction decision tree
Author_Institution :
Area Tecnologica Tratamiento de la Inf., Inisel, Madrid, Spain
Abstract :
An overview of FID3, a technique of fuzzy learning, is presented. Some basic ideas of uncertainty and information are reviewed. A measure of the dependence degree among the variables involved in a possibility distribution is described which suggests a method to select the most informative attributes of a training base. A measure of the vagueness of fuzzy sets is defined which suggests a new method of simplifying concepts. Finally, the author highlights some FID3 enhancements from which the reader can comprehend its potential advantages
Keywords :
decision theory; fuzzy logic; fuzzy set theory; inference mechanisms; learning systems; trees (mathematics); FID3; decision tree; fuzzy induction; fuzzy learning; fuzzy logic; fuzzy set theory; possibility distribution; uncertainty; vagueness; Decision trees; Extrapolation; Fuzzy set theory; Fuzzy sets; Interpolation; Knowledge acquisition; Machine learning; Machine learning algorithms; Possibility theory; Uncertainty;
Conference_Titel :
Uncertainty Modeling and Analysis, 1990. Proceedings., First International Symposium on
Conference_Location :
College Park, MD
Print_ISBN :
0-8186-2107-9
DOI :
10.1109/ISUMA.1990.151297
