Sign inSubmit
ArticleMetrics
Research Article · Free to read · Published 30 June 2006

An Evolution Strategy for the Induction of Fuzzy Finite-state Automata

Mozhiwen & Wanmin

Journal of Mathematics and Statistics, Volume 2, Issue 2, pp. 386–390 · doi.org/10.3844/jmssp.2006.386.390

6,695 accesses4,180 downloads2 citations (Crossref)Metrics
Cite Check for updates

Abstract

This study 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.

Licence and reuse

Free to read. This article carries the publisher’s copyright, as printed on it: © 2006 Science Publications. It is free to read; ask us before reusing it.

How to reuse this article

Responses (0)

Have a comment on this research? Sign in to respond. Responses are moderated and published with your name and affiliation; the authors are invited to reply. How we use your dataWrite a response

About this article

Cite this article

Mozhiwen, & Wanmin, (2006). An Evolution Strategy for the Induction of Fuzzy Finite-state Automata. Journal of Mathematics and Statistics, 2(2), 386–390. https://doi.org/10.3844/jmssp.2006.386.390

Licence
© Science Publications
Issue
Volume 2, Issue 2
Policies
Editorial independenceUse of generative AIData availabilityAppeals and complaints
Version
Version of record
An Evolution Strategy for the Induction of Fuzzy Finite-state AutomataJournal of Mathematics and Statistics · Volume 2, Issue 2 · pp. 386–390 · © Science PublicationsDownload