Generalized Concavity in Fuzzy Optimization and Decision Analysis

Více o knize

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.