Title :
A fuzzy classifier using genetic algorithms for biological data
Author :
Diederich, Jim ; Fortuner, Renaud
Author_Institution :
Dept. of Math., California Univ., Davis, CA, USA
Abstract :
This paper presents a fuzzy classifier that generates fuzzy if-then rules from numerical data for multidimensional classification problems using genetic algorithms with rejection of low confidence patterns
Keywords :
fuzzy logic; genetic algorithms; image classification; biological data; fuzzy classifier; genetic algorithms; multidimensional classification problems; Fuzzy sets; Genetic algorithms; Length measurement; Mathematics; Microscopy; Pattern classification; Position measurement; Tail; Testing; Training data;
Conference_Titel :
Fuzzy Information Processing Society, 1999. NAFIPS. 18th International Conference of the North American
Conference_Location :
New York, NY
Print_ISBN :
0-7803-5211-4
DOI :
10.1109/NAFIPS.1999.781780
