Applications of fuzzy algebra in automata theory and coding theory

Shih-Chuan Cheng, John N. Mordeson

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

3 Scopus citations

Abstract

We apply fuzzy semigroup theory to show that (fuzzy) automata with fuzzy input are equivalent to (fuzzy) automata with crisp input. We use fuzzy group theory to show how abstract pattern recognition problems can be used to examine the faithfulness of a device which decodes messages transmitted across a noisy channel.

Original languageEnglish
Title of host publicationIEEE International Conference on Fuzzy Systems
PublisherIEEE
Pages125-129
Number of pages5
Volume1
StatePublished - 1996
EventProceedings of the 1996 5th IEEE International Conference on Fuzzy Systems. Part 1 (of 3) - New Orleans, LA, USA
Duration: Sep 8 1996Sep 11 1996

Other

OtherProceedings of the 1996 5th IEEE International Conference on Fuzzy Systems. Part 1 (of 3)
CityNew Orleans, LA, USA
Period9/8/969/11/96

All Science Journal Classification (ASJC) codes

  • Chemical Health and Safety
  • Software
  • Safety, Risk, Reliability and Quality

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  • Cite this

    Cheng, S-C., & Mordeson, J. N. (1996). Applications of fuzzy algebra in automata theory and coding theory. In IEEE International Conference on Fuzzy Systems (Vol. 1, pp. 125-129). IEEE.