Opened Access Introducción a la optimización robusta
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Autor: Martínez Ortega, Cristina Consolación
Director: Conde Sánchez, Eduardo
Departamento: Universidad de Sevilla. Departamento de Estadística e Investigación Operativa
Fecha: 2017-06
Tipo de documento: Trabajo Fin de Grado
Titulación: Universidad de Sevilla. Grado en Matemáticas
Resumen: Sometimes, we may found a decision problem, different situations in which we have different options and we must decide. The treatment we must give to the problem must take into account the frequency with which the decision maker is in that situation. Sometimes, it may be appropriate to use expected values whereas other times it may not be a good choice. If we speak of decisions that must be made in concrete situations that will not be repeated, at least under the same probabilistic conditions, such as evacuations, emergency services assistance, etc, the decision criterion should not be to select the least expected cost. In this way, the stochastic programming may not be able to satisfy the requirements of decision making in decision environments characterized by significant uncertainty since it requires assigning probability distributions to the scenarios considered. This is not a trivial exercise for many decision makers because in many cases it can be difficult to calculate the prob...
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Tamaño: 558.6Kb
Formato: PDF

URI: http://hdl.handle.net/11441/63130

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