Generalized Concavity in Fuzzy Optimization and Decision Analysis

The book delves into the concepts of convexity and concavity within linear spaces, highlighting their significance in solving optimization problems, whether single or multi-objective. It explores generalized convex sets and concave functions, demonstrating their utility beyond traditional convex scenarios, including ensuring local optima are global. The second part addresses decision-making and optimization under uncertainty, showcasing the broader applications of these mathematical principles in real-world contexts.