Plithogenic Soft Set Models Based on Neutrosophic and Intuitionistic Fuzzy Sets for Multi-Attribute Time Series Forecasting

Key Points

• This research aims to develop models using plithogenic soft sets combined with neutrosophic and intuitionistic fuzzy sets for effective time series forecasting.
• Developed plithogenic soft set models
• Integrated neutrosophic and intuitionistic fuzzy logic
• Applied models to multi-attribute time series data
• Analyzed forecasting accuracy and decision-making levels
• Demonstrated improved forecasting accuracy compared to traditional models
• Highlighted the effectiveness of incorporating uncertainty into decision-making
• Provided frameworks applicable in various complex scenarios