Construction of cosine-based intuitionistic fuzzy similarity measures: Applications in decision making and attribute reduction

Key Points

• The proposed cosine-based intuitionistic fuzzy similarity measures enhance decision making through improved accuracy.
• Results show a significant reduction in attributes, with up to 25% less information needed while maintaining reliability.
• Observational analysis focused on decision making applications in complex systems involving multiple attributes.
• A promising method, indicating potential for broader applications in artificial intelligence and data science.