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International Journal of Neutrosophic Science
Volume 17 , Issue 2, PP: 96-109 , 2021 | Cite this article as | XML | Html |PDF

Title

Neutrosophic Perspective of Neutrosophic Probability Distributions and its Application

Authors Names :   M. Lathamaheswari   1 *     Said Broumi   2     Florentin Smarandache   3     S. Sudha   4  

1  Affiliation :  Department of Mathematcs, Hindustan Institute of Technology & Science, Chennai-603 103, India

    Email :  lathamax@gmail.com


2  Affiliation :  Regional Center for the Professions of Education and Training, Casablanca-Settat, Morocco

    Email :  broumisaid78@gmail.com


3  Affiliation :  Laboratory of Information processing, Faculty of Science Ben M’Sik, University Hassan II, B.P 7955, Sidi Othman, Casablanca, Morocco

    Email :  broumisaid78@gmail.com


4  Affiliation :  Research Scholar, Department of Mathematcs, Hindustan Institute of Technology & Science, Chennai-603 103, India

    Email :  India. sudha.aarpitha@gmail.com



Doi   :   https://doi.org/10.54216/IJNS.170202

Received: October 15, 2021 Accepted: December 07, 2021

Abstract :

Neutrosophical probability is concerned with inequitable and defective topics and processes. This is a subset of Neutrosophic measures that includes a prediction of an event (as opposed to indeterminacy) as well as a prediction of some unpredictability. When there is no such thing as a non-stochastic occurrence, the Neutrosophic probability is the probability of determining a stochastic process. It is a generalisation of classical probability, which states that the probability of correctly predicting an occurrence is zero. Until now, neutrosophic probability distributions have been derived directly from conventional statistical distributions, with fewer contributions to the determination of the for statistical distribution. We introduced the Poission distribution as a limiting case of the Binomial distribution for the first time in this study, and we also proposed Neutrosophic Exponential Distribution and Uniform Distribution for the first time. With numerical examples, the validity and soundness of the proposed notions were also tested

Keywords :

Neutrosophic Statistics , Poisson , Uniform , Exponential , Probability distribution

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Cite this Article as :
M. Lathamaheswari , Said Broumi , Florentin Smarandache , S. Sudha, Neutrosophic Perspective of Neutrosophic Probability Distributions and its Application, International Journal of Neutrosophic Science, Vol. 17 , No. 2 , (2021) : 96-109 (Doi   :  https://doi.org/10.54216/IJNS.170202)