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 language | English |
|---|---|
| Title of host publication | IEEE International Conference on Fuzzy Systems |
| Publisher | IEEE |
| Pages | 125-129 |
| Number of pages | 5 |
| Volume | 1 |
| State | Published - 1996 |
| Event | Proceedings of the 1996 5th IEEE International Conference on Fuzzy Systems. Part 1 (of 3) - New Orleans, LA, USA Duration: Sep 8 1996 → Sep 11 1996 |
Other
| Other | Proceedings of the 1996 5th IEEE International Conference on Fuzzy Systems. Part 1 (of 3) |
|---|---|
| City | New Orleans, LA, USA |
| Period | 9/8/96 → 9/11/96 |
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.