Including multi-objective abilities in the Hybrid Intelligent Suite for decision support

— Hybrid intelligent systems (HIS) are very successful in tackling problems comprising of more than one distinct computational subtask. For instance, decision-making problems are good candidates for HIS because of their frequent dual nature. This is because supporting decision-making most often involves two phases: (i) forecasting decision scenarios and (ii) searching in those scenarios. In addition to reducing the inherent uncertainty and effort in decision making, previous works in the area of decision support have shown that some of the inconveniences of the ‘Inverse Problem’ can be overcome by the use of Hybrid Intelligent Decision Suites (HIDS). This paper extends HIDS by including a third module that deals with multi-objective (MO) tasks through Evolutionary MultiObjective Optimization (EMOO). This EMOO module helps by creating the Pareto front for each forecast scenario produced by Artificial Neural Networks (ANN), acting here as the predictive engine of the decision suppo...

• Type: Conference
• Year: 2008
• Where: IJCNN
• Authors: Diogo Ferreira Pacheco, Flávio R. S. Oliveira, Fernando Buarque de Lima Neto
• Keywords: Artificial Intelligence, Decision Making, Decision Support, Hybrid Intelligent Decision, IJCNN 2008