Title :
Optimizing fuzzy classifiers by evolutionary algorithms
Author :
Grauel, Adolf ; Renners, Ingo ; Ludwig, Lars A.
Author_Institution :
Dept. of Math., Paderborn Univ., Germany
Abstract :
In this paper a methodology for optimizing fuzzy classifiers based on B-splines by evolutionary algorithms is presented. The algorithm proposed maximizes the performance and minimizes the size of the classifier. On a well-known classification problem the algorithm using only part of the features has a recognition rate comparable to an LDA on the total feature space
Keywords :
evolutionary computation; fuzzy logic; pattern classification; B-splines; evolutionary algorithms; fuzzy classifiers; fuzzy logic; intelligent data analysis; rule induction; Data analysis; Data mining; Decision making; Evolutionary computation; Fuzzy sets; Fuzzy systems; Mathematics; Minimization methods; Optimization methods; Spline;
Conference_Titel :
Knowledge-Based Intelligent Engineering Systems and Allied Technologies, 2000. Proceedings. Fourth International Conference on
Conference_Location :
Brighton
Print_ISBN :
0-7803-6400-7
DOI :
10.1109/KES.2000.885829
