Dynamic fuzzy rule weight optimization for a Fuzzy Based Single-Stroke Character Recognizer

Alex Tormasi, Laszlo T. Koczy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In this paper a dynamic fuzzy rule weighting method (DFW) combined with evolutionary optimization are presented for the formerly published Fuzzy Based Single-Stroke Character Recognizer (FUBAR) method. With the introduced rule weighting technique the consequent parts of the if...then... rules are calculated similarly to the original FUBAR method, but a dynamic fuzzy rule weight Wn([0,1]) described as a fuzzy set is applied to it in O n·1/Wn(On) form, where On is the output of the rule. The membership functions of DFW-s are determined by bacterial evolutionary algorithm. The paper compares the results of the proposed new algorithm with other (formerly published) FUBAR algorithms and also with other commercial and academic single-stroke recognizers in terms of recognition accuracy and computational resources needed.

Original languageEnglish
Title of host publicationINES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems, Proceedings
Pages119-124
Number of pages6
DOIs
Publication statusPublished - Dec 12 2013
Event17th IEEE International Conference on Intelligent Engineering Systems, INES 2013 - San Jose, Costa Rica
Duration: Jun 19 2013Jun 21 2013

Publication series

NameINES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems, Proceedings

Other

Other17th IEEE International Conference on Intelligent Engineering Systems, INES 2013
CountryCosta Rica
CitySan Jose
Period6/19/136/21/13

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

Fingerprint Dive into the research topics of 'Dynamic fuzzy rule weight optimization for a Fuzzy Based Single-Stroke Character Recognizer'. Together they form a unique fingerprint.

  • Cite this

    Tormasi, A., & Koczy, L. T. (2013). Dynamic fuzzy rule weight optimization for a Fuzzy Based Single-Stroke Character Recognizer. In INES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems, Proceedings (pp. 119-124). [6632795] (INES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems, Proceedings). https://doi.org/10.1109/INES.2013.6632795