Journal of Neutrosophic and Fuzzy Systems JNFS 2771-6449 2771-6430 10.54216/JNFS https://www.americaspg.com/journals/show/2879 2021 2021 Faculty of Science, Department of Mathematical Statistics, University of Aleppo, Aleppo, Syria Mohamed Mohamed Faculty of Science, Department of Mathematical Statistics, University of Aleppo, Aleppo, Syria Mohamed Bisher Zeina Faculty of Science, Department of Mathematical Statistics, University of Aleppo, Aleppo, Syria Yasin Karmouta In this paper we represent many classifications of neutrosophic and plithogenic Markov Chains states including absorbent states, inessential and essential states, recurrent states and communicated states. We prove that if a state (i) according to a neutrosophic Markov Chain with neutrosophic transition matrix  is classified as any of the previous classifications then it is also classified as the same classification in classical scene to two Markov Chains defined with transition matrices  respectively. Also, we prove that if a state (i) according to a plithogenic Markov Chain with plithogenic transition matrix  is classified as any of the previous classifications then it is also classified as the same classification in classical scene to three Markov Chains defined with transition matrices  respectively. Many theorems and solved examples are presented and solved successfully. 2024 2024 49 61 10.54216/JNFS.080206 https://www.americaspg.com/articleinfo/24/show/2879