Higher-order circular intuitionistic fuzzy time series forecasting methodology: Application of stock change index

• DOI: 10.1515/dema-2023-0115
• Publication Date: 2024-01-10T07:20:40Z
• Authors: Shahzaib Ashraf; Muhammad Sohail; Muhammad Shakir C...; Siriluk Paokanta; Choonkil Park
• Keywords: Stock (firearms)

Abstract This article presents a higher-order circular intuitionistic fuzzy time series forecasting method for predicting the stock change index, which is shown to be an improvement over traditional methods. The based on principles of set theory. It uses both positive and negative membership values radius handle uncertainty imprecision in data. circularity also taken into consideration, leading more accurate robust forecasts. capability this provides comprehensive predictions compared previous One key challenges we face when using amount featured as case study our project future value ratings influence market index. Through rigorous experiments comparison with methods, results demonstrate that proposed superior approach