A NEW APPROACH TO EXACT PATTERN MATCHING
In this paper we introduce a exible approach to design an eective algorithm for exact
pattern matching, and compare it with some of the most ecient algorithms, such as AOSO, EBOM,
FJS, FSBNDM, HASHq, LBNDM, SA, BMH-SBNDM, SBNDMq, TVSBS. These results are based
on the concept of the degree of fuzziness presented by P. T. Huy et al. in 2002. Theoretical analyses
and experimental results indicate that in practice our proposed algorithm is faster than the above
mentioned algorithms in most of the cases of patterns and alphabets.
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