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 |
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All Science Journal Classification (ASJC) codes
- Chemical Health and Safety
- Software
- Safety, Risk, Reliability and Quality
Cite this
Applications of fuzzy algebra in automata theory and coding theory. / Cheng, Shih-Chuan; Mordeson, John N.
IEEE International Conference on Fuzzy Systems. Vol. 1 IEEE, 1996. p. 125-129.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Applications of fuzzy algebra in automata theory and coding theory
AU - Cheng, Shih-Chuan
AU - Mordeson, John N.
PY - 1996
Y1 - 1996
N2 - 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.
AB - 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.
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UR - http://www.scopus.com/inward/citedby.url?scp=0030377684&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0030377684
VL - 1
SP - 125
EP - 129
BT - IEEE International Conference on Fuzzy Systems
PB - IEEE
ER -