Using Moving Averages To Pave The Neutrosophic Time Series
Journal Title: International Journal of Neutrosophic Science (IJNS) - Year 2020, Vol 3, Issue 1
Abstract
In this paper, were using moving averages to pave the Neutrosophic time series. similar to use moving averages to pave the classical time series. the difference, here were dealing with inaccurate data and values of the time series.in the Neutrosophic time series, each unit of time(t) corresponds to a range of values instead of a single value. Finally, we find that the Neutrosophic time series provide an accurate description of the behavior of the series better than in the classic. Therefore, can predict the future of the series as accurately as possible.
Authors and Affiliations
Rafif Alhabib * , A. A. Salama
Erlang Service Queueing Model with Neutrosophic Parameters
In this paper, we generalize the classical Erlang service queueing model, which has determined and crisp parameters to neutrosophic Erlang service queueing model which is more accurate because it opens the ability to dea...
Elementary Examination of NeutroAlgebras and AntiAlgebras viz-a-viz the Classical Number Systems
The objective of this paper is to examine NeutroAlgebras and AntiAlgebras viz-a-viz the classical number systems.
A short remark on Bong Han duct system (PVS) as a Neutrosophic bridge between Eastern and Western Medicine paradigms
In a previous paper in this journal (IJNS), it is mentioned about a possible approach of “curemony” as a middle way in order to reconcile Eastern and Western’s paradigms of medicine [1]. Although it is known in literatur...
A Note on Neutrosophic Submodule of an R-module M
The paper focuses on the applications of neutrosophic set theory in the domain of classical algebraic structures, especially R-module. This study discusses some algebraic operations of neutrosophic sets of an R-moduleM,...
Application of Pentagonal Neutrosophic Number in Shortest Path Problem
Real-human kind issues have distinct sort of ambiguity and among them; one of the critical troubles is solving the shortest path problem. In this contribution, we applied the developed score function and accuracy functio...