OBJECTIVE To carry out a spatial analysis of the occurrence of acts of violence (specifically robberies) in public transportation, identifying the regions of greater incidence, using geostatistics, and possible causes with the aid of a multicriteria analysis in the Geographic Information System. METHODS The unit of analysis is the traffic analysis zone of the survey named Origem-Destino, carr...

The natural risks management process involves several temporal steps (preparedness, mitigation, crisis management, recovery...) and spatial zones (triggering, propagation and deposition or extension areas). Decision support systems are expected to help the experts, the risk managers, the local authorities to take difficult decisions often based on imperfect information provided by more or less ...

The public preferences for environmental quality should be a primary consideration of planners and decision-makers in environmental systems planning. In the first stage of multicriteria analysis, a multi-attribute evaluation model for determining public preferences is formulated. The environmental indices are defined for a comparison of environmental quality in different metropolitan districts....

Practitioners of cost-utility analysis know that their models omit several important factors that often affect real-world decisions about health care options. Furthermore, cost-utility analyses typically reflect only single perspectives (e.g., individual, business, and societal), further limiting the value for those with different perspectives (patients, providers, payers, producers, and planne...

Data envelopment analysis (DEA) is a non-parametric method for measuring the efficiencies of decision-making units (DMUs) by using set inputs and outputs. However, traditional DEA models always assume that or outputs are independent each other, which unrealistic in practical problems. To reflect interactions between outputs, Choquet integral employed models. The usually used to find some specif...

Recommender Systems and Multicriteria Decision Analysis remain two separate scientific fields in spite of their similarity in supporting the decision making process and reducing information overload. In this paper we present a novel algorithmic framework, which combines features from Recommender Systems literature and Multicriteria Decision Analysis to alleviate the sparsity problem and the abs...

Many real-world problems require decision makers to consider multiple criteria when performing an analysis. One popular method used to analyze multicriteria decision problems is goal programming. When applying goal programming, it is often difficult if not impossible to determine the target values and unit penalty weights with any level of confidence. Thus, in many situations, managers and deci...

Abstract Additive manufacturing (AM) or three-dimensional printing (3DP) refers to producing objects from digital information layer by layer. Despite recent advancements in AM, process planning AM has not received much attention compared subtractive manufacturing. One of the critical issues is deciding part orientation. In this research, integrative framework multicriteria decision making for o...

In this paper it is outlined the methodology of the model MIREM (Multicriteria Industrial and Regional Economic Model) as the empirical framework for the implementation of an industrial policy in the CEECs countries aspiring to enter the European Union. Its epistemological foundations are taken from M. Porter Theory of Competitive Advantage and B. Balassa Theory of Economic Integration and focu...