• VYSHNAVI M
• MUTHUKUMAR M

This paper presents an overview of the study comparing Hidden Markov Models (HMMs) and Fuzzy Hidden Markov Models (FHMMs). The research aims to analyse and evaluate the two models in terms of modelling capabilities, representation methods, inference and learning algorithms, and future usefulness. This paper sheds light on the strengths, and drawbacks of the similarities and differences between HMMs and FHMMs, highlighting their importance in different areas, through an intensive review of the literature and analysis of experimental results.The application of HMMs and FHMMs has dominated in recent years, as seen by the many articles released. In this investigation, 101 publications from journals were used. The authors review the literature using HMM and FHMM, which have been applied to a variety of application sectors. Based on collected publications, this report provides a brief review of research on the comparative analysis of HMM and FHMM.

Markov Model (HMM), Fuzzy Hidden Markov Model (FHMM), Algorithms

"COMPARATIVE STUDY OF THE HIDDEN MARKOV MODEL AND FUZZY HIDDEN MARKOV MODEL – REVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.g276-g288, July-2023, Available :http://www.jetir.org/papers/JETIR2307643.pdf

"COMPARATIVE STUDY OF THE HIDDEN MARKOV MODEL AND FUZZY HIDDEN MARKOV MODEL – REVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppg276-g288, July-2023, Available at : http://www.jetir.org/papers/JETIR2307643.pdf