A New Decision-Making Analysis Model Based on the Transformation of Picture Fuzzy Sets into Fuzzy Sets

In today's era of data analysis and decision-making, the concept of picture fuzzy sets has emerged as a valuable tool for addressing uncertain real-life problems. Picture fuzzy sets uniquely consider neutral answers and accommodate choices beyond the typical binary yes or no, including the neutral option. However, the application of artificial intelligence, machines, and software is predominantly optimized for traditional fuzzy sets. In this chapter, we propose an innovative approach that transforms picture fuzzy sets into conventional fuzzy sets. This transformation bridges the gap between these two mathematical frameworks, empowering industries to harness the precision of fuzzy logic and control by providing exact fuzzy values for more accurate results. This work contributes to the integration of picture fuzzy sets into the broader landscape of fuzzy logic, enhancing their applicability in various industrial contexts.