Lilia Esther Valencia Cruzaty, Mariela Reyes Tomalá, Carlos Manuel Castillo Gallo
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A Neutrosophic Statistic Method to Predict Tax Time Series in Ecuador
. 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.
期刊介绍:
Neutrosophic Sets and Systems (NSS) is an academic journal, published bimonthly online and on paper, that has been created for publications of advanced studies in neutrosophy, neutrosophic set, neutrosophic logic, neutrosophic probability, neutrosophic statistics etc. and their applications in any field.