Modeling Economic Forecasting With Fuzzy Integral Equations: Case Studies In Market Demand And Supply

Abstract

Economic forecasting plays a pivotal role in decision-making processes for businesses, policymakers, and investors. Conventional forecasting methods often assume precise and deterministic data, which may not fully capture the complexities and uncertainties present in economic systems. In recent years, fuzzy integral equations have emerged as a powerful tool for modeling and predicting economic variables under uncertainty. This research paper explores the application of fuzzy integral equations in economic forecasting, with a focus on market demand and supply. Through comprehensive case studies, we demonstrate the effectiveness and robustness of fuzzy integral equations in providing accurate and reliable forecasts in dynamic and uncertain market environments.