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Generalized Concavity in Fuzzy Optimization and Decision Analysis

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  • 316 pages
  • 12 hours of reading

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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.

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Generalized Concavity in Fuzzy Optimization and Decision Analysis, Jaroslav Ramík, Milan Vlach

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Released
2012
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