Recognition of Noisy Subsequences Using Constrained Edit Distances
IEEE Transactions on Pattern Analysis and Machine Intelligence
Information Sciences: an International Journal
The utilization of fuzzy sets in the recognition of imperfect strings
Fuzzy Sets and Systems
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
The String-to-String Correction Problem
Journal of the ACM (JACM)
A guided tour to approximate string matching
ACM Computing Surveys (CSUR)
Introduction To Automata Theory, Languages, And Computation
Introduction To Automata Theory, Languages, And Computation
Computation of Normalized Edit Distance and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast Computation of Normalized Edit Distances
IEEE Transactions on Pattern Analysis and Machine Intelligence
Some considerations on fuzzy automata
Journal of Computer and System Sciences
Fuzzy finite-state automata can be deterministically encoded into recurrent neural networks
IEEE Transactions on Fuzzy Systems
Deformed fuzzy automata for correcting imperfect strings of fuzzy symbols
IEEE Transactions on Fuzzy Systems
Improving folksonomies quality by syntactic tag variations grouping
Proceedings of the 2009 ACM symposium on Applied Computing
Pattern recognition using temporal fuzzy automata
Fuzzy Sets and Systems
Nondeterministic fuzzy automata
Information Sciences: an International Journal
Hi-index | 0.21 |
This paper introduces fuzzy automata with transitions by empty string (@?-moves), and shows their relationship with other classes of classical fuzzy automata. The @?-move represents a state change of the automaton without consuming any symbol of the input string. In approximate string matching, @?-moves allow to model the effect of the insertion of a symbol (one of the possible edit operations). We provide a fuzzy measure between strings based on the concepts of string alignments and fuzzy edit operations. The main contribution of this paper is to prove that a particular class of fuzzy automata with @?-moves computes those fuzzy measures without restricting the number of errors between the strings. Given a fuzzy measure, a building method for constructing the fuzzy automaton with @?-moves that computes it, is also proposed.