A Neutrosophic Statistic Method to Predict Tax Time Series in Ecuador

Abstract

Prediction of tax collection behavior is an essential tool for social planning by the State of any country.
The tax is the State’s mechanism for budget collection, which is necessary to accomplish public services that benefit
the whole society. This paper firstly aims to propose a method of predicting time series where values can be given in
form of intervals rather than numbers. This form permits to obtain more truthful results, but with a greater
indeterminacy. Because statistical prediction methods are used, where data in form of intervals are included, we can
classify this approach as a kind of Neutrosophic Statistics technique. Basically, the method converts a set of predicted
numerical values into intervals. The second objective is to apply the method to predict the monthly income from taxes
in Ecuador for the year 2019.