Introduction of fuzzy logic in the hidden markov models.
Manoochehr Kelarestaghi, Mohamed Slimane, Nicole Vincent · 2001
In this paper, we present a fuzzy logic integration to the Hidden Markov Models (HMM). We have replaced the basic arithmetic operators by some adequate k z y operators. Using fuzzy operators permits us to relax the additivity constraint of probability measures. So we will need only the monotonicity with respect to set inclusion. Some results show the interest of our approach.