The Seasonal Factors Analysis of the Neutrosophic Time Series (Neutrosophic Seasonal Index)

The paper studies and analyzes the seasonal components of a neutrosophic time series. The methodology follows a structure similar to that of classical logic but differs in the treatment of data. In this context, all data—whether precisely defined or indeterminate are considered. Each time unit (t) may correspond to a set or range of values instead of a single value (As an example of indeterminate values). This approach allows for a more precise description of the time series behavior and enables more accurate forecasting than the classical method. The study aims to identify the seasonal impact on the neutrosophic time series and determine how it we can be excluded or predicted, by computing the Neutrosophic Seasonal Index (SN).