Full Length Article
DOI: https://doi.org/10.54216/JNFS.080206
Classification of States for Literal Neutrosophic and Plithogenic Markov Chains
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.
Suhar Massassati,
Mohamed Bisher Zeina,
Yasin Karmouta
visibility
3062
download
2934