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This paper presents a practical case involving a shopping mall location problem in the northeast countryside of Brazil. In this problem, conflicting objectives have been expressed in terms of seven criteria. Then, ten cities of the northeastern countryside have been selected to compose the space of actions. The problem plays a special role since Brazil is a big country that requires investments in the countryside. Thus, the shopping mall aims to stimulate economic growth in the respective region. In the study, this multi-objective problem is solved using the FITradeoff method. In FITradeoff, the combination of the paradigms of holistic evaluation and elicitation by decomposition in preference modeling are well explored, bringing different perspectives for the decision-maker during the decision process.

The COVID-19 pandemic has brought health systems to the brink of collapse in several regions around the world, as the demand for health care has outstripped the capacity of their services, especially regarding intensive care. In this context, health system managers have faced a difficult question: who should be admitted to an intensive care unit (ICU), and who should not? This paper addresses this decision problem using Expected Utility Theory and Bayesian decision analysis. In order to estimate the chances of survival for patients, a structured protocol has been proposed conjointly with physicians, based on the Sequential Organ Failure Assessment (SOFA) score. A portfolio selection approach is proposed to support tackling the ICU allocation problem. A simulation study shows that the proposed approach is more advantageous than other approaches already presented in the literature, with respect to the number of lives saved. The patients’ probabilities of survival inside and outside the ICU are important parameters of the model. However, assessing such probabilities can be a difficult task for health professionals. In order to give due treatment to the imprecise information regarding these probabilities, a Monte Carlo simulation is used to estimate the probabilities of recommending a patient be admitted to the ICU is the most appropriate decision, given the conditions presented. The methodology was implemented in an Information and Decision System called SIDTriagem, which is available online for free. With regards to managerial implications, SIDTriagem has a great potential to help in the response to public health emergencies systems as it facilitates rational decision-making regarding allocating ICU beds when resources are scarce.

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Neuroscience is a new and interdisciplinary field, so it is no surprise that its ideas and principles have been applied to the study of human decision processes in many different contexts. Understanding the communication and response characteristics of the brain can help to explain the heterogeneity of individual behavior and improve predictions about human interaction. Group decision and negotiation (GDN) is one area in which neuroscience may be especially helpful, as neural data can be used to improve predictions about human choices and the outcomes they produce. One goal is to understand how actors' interactions are registered directly in the brain, to identify affective factors, and thereby to explain humans' ability or inability to evaluate the actions and intentions of others. The

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The study investigates options to support the reverse logistics for wholesalers in a company. This big company, which do not have the name presented in this paper aims to improve the process of returning unsold items. At the moment, the process contained several rework-related losses. Hence, in this study two methodologies have been applied. The VFT has been used to structure the problem considering the multiple objectives presented by the Decision-Maker, in special those that are considered by sporting multinational. Also, the FITradeoff method has been used to identify the alternatives that should compose the portfolio of options concerning the reverse logistics. The portfolio problematic has been applied since it has been desired to obtain the subset of option to support the problem, constrained by monetary resources. Using the VFT, ten alternatives which were evaluated in ten criteria have been defined, and support by the FITradeoff method. As result, the alternatives five alternatives have been selected to compose the portfolio.