Technical Production

FlooD MATTERS Decision Support System

INPI registration: BR512023001941-0
Summary: Urban adaptation implies combating the multifaceted effects of the climate and requires public managers to propose a broad agenda between public and private technical-scientific institutions, in order to take preventive, efficient, and innovative decisions concerning floods. Given this back-drop, presents a novel Decision Support System (DSS) for enhancing flood risk prioritization in urban areas under the multicriteria approach. Therefore, this DSS explores multidimensional models to support the decision-making process, thereby inserting the decision-maker's (DM’s) preferences, in terms of expected utility (EU), by using the Multi-Attribute Utility Theory (MAUT), Decision Analysis and other important methodological advances in this field. Comprising environmental, financial, human, mobility, and social issues simultaneously, the models deal with risk assessment bycombining the sources of hazard and its consequences with EUs under a stationary perspective, in short- and long- term decisions.

Opte: Multidimensional Risk for Portfolio Selection in Natural Gas Pipelines

INPI registration: BR512023001858-9
Summary: This Decision Support System (DSS) contributes to the decision-making process regarding risk management for natural gas pipelines, making it more explicit, rational, and structured. In other words, it is appropriate to consider an evaluation involving multiple dimensions of consequence to which pipelines are subjected. To this end, this DSS explores a multidimensional risk assessment (based on Utility Theory and Decision Theory) capable of aggregating the probabilities, consequence values, and preferences of the gas carrier manager in the face of this multiple-dimension scenario. In addition, it efficiently directs the focus of risk mitigation. A portfolio approach is used to support the strategic selection of the most critical sections of the pipeline. In this regard, the system introduces an implicit enumeration algorithm to handle portfolio selection when the interval scale is the sole form of measurement.


INPI registration: BR 512021000748-4
Summary: The Decision Support System for Natural Gas Pipeline Risk Assessment, incorporating Utility Function and ELECTRE TRI, is an application designed to address multi-attribute challenges in the context of natural gas pipeline operations. The system computes multidimensional risks for different pipeline areas and classifies them based on risk levels, providing valuable insights for effective risk planning and control processes.


INPI registration: BR 512020002172-7
Summary: SIDTriagem is a decision information system for screening patients with suspected and/or diagnosed COVID-19 in units with resource restrictions. The product's contribution is that it offers a web-based application to support healthcare professionals' decisions in the context of the COVID-19 pandemic, in a resource-constrained context. Three important decisions are dealt with in SIDTriagem: screening patients; allocating patients to ICU (Intensive Care Unit) beds; and deciding on patient testing. Decision support for these three approaches is based on the utilitarian principle, aiming to maximize the number of lives saved. Factors such as the patient's clinical condition, laboratory test results and the patient's chances of survival in different scenarios are taken into account to provide a recommendation to healthcare professionals on the best course of action. The recommendation is given based on a robustness index for each decision alternative, which is calculated using a Monte-Carlo simulation process.

Decision Support System for Multidimensional Risk Assessment in Natural Gas Pipelines using Multi-attribute Rank-Dependent Utility.

INPI registration: BR 512020002173-5
Summary: The initiative involves implementing a multi-attribute risk assessment model for natural gas pipelines, integrating unexpected utility to enhance the precision of risk area recommendations for these pipelines. The environmental, human, and financial risks associated with the transportation and distribution of natural gas through pipelines offer the system a comprehensive understanding of potential damages resulting from operational failures, thus minimizing losses.

Decision Support System for Multidimensional Risk Assessment in Natural Gas System With MAUT

INPI registration: BR 512018001408-9
Summary: The objective is to implement a multi-attribute risk assessment model for natural gas pipelines by integrating the multi-attribute utility theory (MAUT). This approach aims to enhance the credibility of risk area recommendations for the pipelines. The analysis of environmental, human, and financial risks in the realm of natural gas transport and distribution not only generates knowledge and expertise among decision-makers but also effectively reduces resistance, enhances knowledge within the business team, and streamlines the process of risk assessment and accident prevention in this intricate context.