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Generalization of hidden Markov models using fuzzy integrals

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2 Author(s)
M. Mohamed ; Dept. of Electr. & Comput. Eng., Missouri Univ., Columbia, MO, USA ; P. Gader

The statistical methods of hidden Markov modeling were initially introduced and studied in the late 1960s and early 1970s. They have been found to be extremely useful for a wide spectrum of applications in ecology, cryptanalysis, speech and handwriting recognition. In this paper, we generalize hidden Markov models using fuzzy integrals

Published in:

Fuzzy Information Processing Society Biannual Conference, 1994. Industrial Fuzzy Control and Intelligent Systems Conference, and the NASA Joint Technology Workshop on Neural Networks and Fuzzy Logic,

Date of Conference:

18-21 Dec 1994