Forecasting IT Industry trends using a Fuzzy Decision Support System

The information Technology (IT) industry plays a vital role in the global economy and its significance will only continue to grow as digitalization accelerates. During times of increased entropy resulting from crises or military conflicts, the stable functioning of the IT industry is of paramount importance. This study explores the possibility of using a fuzzy Decision Support System (DSS) to forecast and predict how the IT industry in a specific country will operate. For the purpose of demonstration, we use self-developed FuzzyKIDE fuzzy DSS software platform, which employs fuzzy logic to provide a reasonable assessment even when the information is imprecise. We propose a DSS structure that utilizes a combined model of semantic networks and fuzzy implication rules. To demonstrate its effectiveness, we analyze Ukraine's tir industry at various time points and compare the results with historical data.