Single-Valued and Interval-Valued Neutrosophic Hidden Markov Model

Neutrosophic sets are employed to be handled indeterminacy in a real-life situation. Thus, neutrosophic approaches the medical domain prove their excellence. The hidden Markov model is an inventiveness for uncertainty. existing models not able consider uncertainty information, but effectively finds optimal path between states where vagueness exists. proposed study comprises idea of single-value and interval-valued into decoding using Viterbi algorithm. It has been used determine sequence motility primitives afforded time series. method without having lower membership function falsity, because this advantage, one can save significantly during computation. score helps find crisp value probability. Moreover, work highlights main childhood obesity risk lockdown situations.