In short, we can say that dynamic programming is a method of optimization of systems, using their mathematical …

Ergebnisse zeigen, dass die betriebliche Entscheidung für eine naturschutzfachliche Optimierung abhängig ist von der …

probabilities assumed in Knightian decision theory. I argue that some standard uses of classical inference are Knightian in spirit … classical statisticians act unconsciously as Knightian decision makers. If one accepts this argument, then it is of interest to …

theory of options in financial markets, which permits a much richer dynamic framework than was possible with the traditional … theory of investment. The authors present the new theory in a clear and systematic way, and consolidate, synthesize, and … extend the various strands of research that have come out of the theory. Their book shows the importance of the theory for …

ambiguity of demand. Under a linear decision rule, we obtain a storage and retrieval policy by solving a moderate-size linear …

A two-step infinite α-cuts fuzzy linear programming (TSIFP) method is developed in this study. The introduction of … infinite α-cuts to conventional fuzzy linear programming frameworks makes it possible to generate more reliable optimal results … than conventional fuzzy linear programming, where finite α-cuts were assumed to be sufficient in representing all fuzzy …