Pattern recognition using temporal fuzzy automata

@article{Bailador2010PatternRU,
  title={Pattern recognition using temporal fuzzy automata},
  author={Gonzalo Bailador and Graci{\'a}n Trivi{\~n}o},
  journal={Fuzzy Sets and Systems},
  year={2010},
  volume={161},
  pages={37-55}
}
In this paper, we propose a syntactic pattern recognition approach based on fuzzy automata, which can cope with the variability of patterns by defining imprecise models. This approach is called temporal fuzzy automata as it allows the inclusion of time restrictions to model the duration of the different states. The concept of fuzzy state makes it possible to handle ambiguity as the automaton can be in several states at the same time. Another advantage of our approach is the capability to… CONTINUE READING
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