In this paper we present for the first time the concept of symbolic plithogenic random
variables and study its properties including expected value and variance. We build the …

In the last decade, opinion mining has been explored by using various machine learning
methods. In the literature, document-level sentiment analysis has been majorly dealt with …

This research presents the concept of neutrosophic Bayesian estimation defining the
neutrosophic loss function, neutrosophic risk function, neutrosophic posterior risk function …

This paper is an improvement of our paper “(t, i, f)-Neutrosophic Structures”, where we
introduced for the first time a new type of structures, called (t, i, f)-Neutrosophic Structures …

In this paper, we introduce and define for the first time the plithogenic loss function,
plithogenic risk function, plithogenic maximum likelihood function, and plithogenic posterior …

A crucial aspect of bioinformatics is sequence comparison, which entails matching recently
discovered biological sequences with previously identified sequences kept in databases. To …

In this work, we present a generalized isomorphism between field of symbolic nplithogenic
set and 𝑅𝑛+ 1, use it to study the most general form of symbolic plithogenic random …

This paper describes the importance of Neutrosophy Theory in order to find a method that
could solve the uncertainties arising on discursive analysis. The aim of this pilot study is to …

Medical images are essential in contemporary medicine because they provide practicable
entropy, which is used to diagnose medical conditions. It is useful to visualize abnormality in …

In today's scenario transportation problem [TP] is the prominent area of optimization. In the
present paper, a TP in a neutrosophic environment, known as a neutrosophic transportation …