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UFMG/ICEx/DCC Projeto e Análise de Algoritmos Pós
UFMG/ICEx/DCC Projeto e Análise de Algoritmos Pós

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Stochastic dominance-constrained Markov decision processes

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Lecture 9: Numerical solution of boundary value problems

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Problem 2 - Purdue College of Engineering

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... Urban public vocational technical high school in Essex County. Level 1 School. Students: 1352 Schools: 1 Educators: 170 Evaluators: 10 Problem: In 2013/2014 the Evaluation Oversight Committee (EOC) did not meet regularly. It also operated with diminished authority due to an agreement that a full uni ...
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begin solution - University of Waterloo

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Classroom Note Fourier Method for Laplace Transform Inversion †

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Set point control in the state space setting

... We will in this report try to give the simplest presentation and illustrate the extention including more general frameworks. For that matter we will in the first part of the report assume that system is scalar (SISO or single input single output). ...
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Agile Software Development Methodology

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Multiple-criteria decision analysis



Multiple-criteria decision-making or multiple-criteria decision analysis (MCDA) is a sub-discipline of operations research that explicitly considers multiple criteria in decision-making environments. Whether in our daily lives or in professional settings, there are typically multiple conflicting criteria that need to be evaluated in making decisions. Cost or price is usually one of the main criteria. Some measure of quality is typically another criterion that is in conflict with the cost. In purchasing a car, cost, comfort, safety, and fuel economy may be some of the main criteria we consider. It is unusual that the cheapest car is the most comfortable and the safest one. In portfolio management, we are interested in getting high returns but at the same time reducing our risks. Again, the stocks that have the potential of bringing high returns typically also carry high risks of losing money. In a service industry, customer satisfaction and the cost of providing service are two conflicting criteria that would be useful to consider.In our daily lives, we usually weigh multiple criteria implicitly and we may be comfortable with the consequences of such decisions that are made based on only intuition. On the other hand, when stakes are high, it is important to properly structure the problem and explicitly evaluate multiple criteria. In making the decision of whether to build a nuclear power plant or not, and where to build it, there are not only very complex issues involving multiple criteria, but there are also multiple parties who are deeply affected from the consequences.Structuring complex problems well and considering multiple criteria explicitly leads to more informed and better decisions. There have been important advances in this field since the start of the modern multiple-criteria decision-making discipline in the early 1960s. A variety of approaches and methods, many implemented by specialized decision-making software, have been developed for their application in an array of disciplines, ranging from politics and business to the environment and energy.
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