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

Alex Tormasi, L. Kóczy

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

1 Citation (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 - 2013
Event17th IEEE International Conference on Intelligent Engineering Systems, INES 2013 - San Jose, Costa Rica
Duration: Jun 19 2013Jun 21 2013

Other

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

Fingerprint

Fuzzy rules
Membership functions
Fuzzy sets
Evolutionary algorithms

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

Cite this

Tormasi, A., & Kóczy, L. (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] https://doi.org/10.1109/INES.2013.6632795

Dynamic fuzzy rule weight optimization for a Fuzzy Based Single-Stroke Character Recognizer. / Tormasi, Alex; Kóczy, L.

INES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems, Proceedings. 2013. p. 119-124 6632795.

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

Tormasi, A & Kóczy, L 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., 6632795, pp. 119-124, 17th IEEE International Conference on Intelligent Engineering Systems, INES 2013, San Jose, Costa Rica, 6/19/13. https://doi.org/10.1109/INES.2013.6632795
Tormasi A, Kóczy L. 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. 2013. p. 119-124. 6632795 https://doi.org/10.1109/INES.2013.6632795
Tormasi, Alex ; Kóczy, L. / Dynamic fuzzy rule weight optimization for a Fuzzy Based Single-Stroke Character Recognizer. INES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems, Proceedings. 2013. pp. 119-124
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