Title :
An evolution strategy for the induction of fuzzy finite-state automata
Author :
Zhiwen, Mo ; Min, Wan ; Lan, Shu
Author_Institution :
Dept. of Appl. Math, Southwest Jiaotong Univ., China
Abstract :
This paper presents an evolution strategy used to infer fuzzy finite-state automata from examples of a fuzzy language. We describe the fitness function of an generated automata with respect to a set of examples of a fuzzy language, the representation of the transition of the automata as well as the output of the states in the evolution strategy and the simple mutation operators that work on these representations. Results are reported on the inference of a fuzzy language.
Keywords :
evolutionary computation; finite state machines; fuzzy set theory; inference mechanisms; evolution strategy; fitness function; fuzzy finite-state automata; fuzzy language inference; mutation operator; Automata; Educational institutions; Electrical capacitance tomography; Fuzzy sets; Genetic mutations; Induction generators; Paper technology; Pattern recognition; Speech analysis; Training data; evolution strategy; fitness; fuzzy finite state automata; generalization; mutation;
Conference_Titel :
Granular Computing, 2005 IEEE International Conference on
Print_ISBN :
0-7803-9017-2
DOI :
10.1109/GRC.2005.1547358
