Introduction to Neutrosophic Stochastic Processes

In this article, the definition of literal neutrosophic stochastic processes is presented for the first time in the form 𝒩𝑡 = 𝜉𝑡 + 𝜂𝑡𝐼 ;𝐼 2 = 𝐼 where both {𝜉(𝑡),𝑡 ∈ 𝑇} and {𝜂(𝑡),𝑡 ∈ 𝑇} are classical real valued stochastic processes. Characteristics of the literal neutrosophic stochastic process are...

Full description

Bibliographic Details
Main Authors: Mohamed Bisher Zeina, Yasin Karmouta
Format: Article
Language:English
Published: University of New Mexico 2023-03-01
Series:Neutrosophic Sets and Systems
Subjects:
Online Access:http://fs.unm.edu/NSS/14IntroNeutroStochasticProcesses.pdf
_version_ 1797824890107068416
author Mohamed Bisher Zeina
Yasin Karmouta
author_facet Mohamed Bisher Zeina
Yasin Karmouta
author_sort Mohamed Bisher Zeina
collection DOAJ
description In this article, the definition of literal neutrosophic stochastic processes is presented for the first time in the form 𝒩𝑡 = 𝜉𝑡 + 𝜂𝑡𝐼 ;𝐼 2 = 𝐼 where both {𝜉(𝑡),𝑡 ∈ 𝑇} and {𝜂(𝑡),𝑡 ∈ 𝑇} are classical real valued stochastic processes. Characteristics of the literal neutrosophic stochastic process are defined and its formulas are driven including neutrosophic ensemble mean, neutrosophic covariance function and neutrosophic autocorrelation function. Concept of literal neutrosophic stationary stochastic processes is well defined and many theorems are presented and proved using classical neutrosophic operations then using the one-dimensional AH-Isometry. Some solved examples are presented and solved successfully. We have proved that studying the literal neutrosophic stochastic process {𝒩(𝑡),𝑡 ∈ 𝑇} is equivalent to studying two classical stochastic processes which are {𝜉(𝑡),𝑡 ∈ 𝑇} and {𝜉 𝑡 + 𝜂𝑡 ,𝑡 ∈ 𝑇}.
first_indexed 2024-03-13T10:46:00Z
format Article
id doaj.art-1e78b8d7d94245a2bd97396849d9a4c7
institution Directory Open Access Journal
issn 2331-6055
2331-608X
language English
last_indexed 2024-03-13T10:46:00Z
publishDate 2023-03-01
publisher University of New Mexico
record_format Article
series Neutrosophic Sets and Systems
spelling doaj.art-1e78b8d7d94245a2bd97396849d9a4c72023-05-17T17:21:44ZengUniversity of New MexicoNeutrosophic Sets and Systems2331-60552331-608X2023-03-015416918310.5281/zenodo.7817748Introduction to Neutrosophic Stochastic ProcessesMohamed Bisher ZeinaYasin KarmoutaIn this article, the definition of literal neutrosophic stochastic processes is presented for the first time in the form 𝒩𝑡 = 𝜉𝑡 + 𝜂𝑡𝐼 ;𝐼 2 = 𝐼 where both {𝜉(𝑡),𝑡 ∈ 𝑇} and {𝜂(𝑡),𝑡 ∈ 𝑇} are classical real valued stochastic processes. Characteristics of the literal neutrosophic stochastic process are defined and its formulas are driven including neutrosophic ensemble mean, neutrosophic covariance function and neutrosophic autocorrelation function. Concept of literal neutrosophic stationary stochastic processes is well defined and many theorems are presented and proved using classical neutrosophic operations then using the one-dimensional AH-Isometry. Some solved examples are presented and solved successfully. We have proved that studying the literal neutrosophic stochastic process {𝒩(𝑡),𝑡 ∈ 𝑇} is equivalent to studying two classical stochastic processes which are {𝜉(𝑡),𝑡 ∈ 𝑇} and {𝜉 𝑡 + 𝜂𝑡 ,𝑡 ∈ 𝑇}. http://fs.unm.edu/NSS/14IntroNeutroStochasticProcesses.pdfah-isometryneutrosophic field of realsneutrosophic random variablesstationary stochastic processescharacteristics of stochastic processesensemble meancovariance functionautocorrelation function
spellingShingle Mohamed Bisher Zeina
Yasin Karmouta
Introduction to Neutrosophic Stochastic Processes
Neutrosophic Sets and Systems
ah-isometry
neutrosophic field of reals
neutrosophic random variables
stationary stochastic processes
characteristics of stochastic processes
ensemble mean
covariance function
autocorrelation function
title Introduction to Neutrosophic Stochastic Processes
title_full Introduction to Neutrosophic Stochastic Processes
title_fullStr Introduction to Neutrosophic Stochastic Processes
title_full_unstemmed Introduction to Neutrosophic Stochastic Processes
title_short Introduction to Neutrosophic Stochastic Processes
title_sort introduction to neutrosophic stochastic processes
topic ah-isometry
neutrosophic field of reals
neutrosophic random variables
stationary stochastic processes
characteristics of stochastic processes
ensemble mean
covariance function
autocorrelation function
url http://fs.unm.edu/NSS/14IntroNeutroStochasticProcesses.pdf
work_keys_str_mv AT mohamedbisherzeina introductiontoneutrosophicstochasticprocesses
AT yasinkarmouta introductiontoneutrosophicstochasticprocesses