Decision Support Systems (DSSs) are those systems aimed at helping a human decision maker in making decisions. The analysis of the Recognized Environmental Picture (REP) for maritime operation support is one of the most challenging DSS field of application for several reasons. Maritime operation planning requires the extraction of information and knowledge from a variety of multi-source METOC data distributed over space and time in order to assess operation risk and decide course of action. This task is even more difficult in high dynamic and uncertain areas, such as littoral ones, resulting in a dramatic increase of the workload for the decision maker. Effects of data uncertainty and its exploitation, multi-source data fusion, data dissemination and presentation, and human factors are the aspects in which researchers and system designers in this field are particularly focused including performance assessment. This work, after an introduction of basic concepts, provides an overview of past and recent results of the research on DSSs for maritime operations at NURC with a focus on fuzzy logic based systems, use of probabilistic METOC forecasts and impact of data uncertainty on the decision process. In the second part of the work we revise new research directions aimed at improving both uncertainty handling and human performance under stress fatigue and time pressure. Under investigation the possibility to exploit the Computing With Words (CWW) framework to reduce cognitive workload. Performance assessment, which requires specific metrics and evaluation methodologies, is also under study.
A review of DSSs developed at NURC and future trends
COCOCCIONI, MARCO;
2010-01-01
Abstract
Decision Support Systems (DSSs) are those systems aimed at helping a human decision maker in making decisions. The analysis of the Recognized Environmental Picture (REP) for maritime operation support is one of the most challenging DSS field of application for several reasons. Maritime operation planning requires the extraction of information and knowledge from a variety of multi-source METOC data distributed over space and time in order to assess operation risk and decide course of action. This task is even more difficult in high dynamic and uncertain areas, such as littoral ones, resulting in a dramatic increase of the workload for the decision maker. Effects of data uncertainty and its exploitation, multi-source data fusion, data dissemination and presentation, and human factors are the aspects in which researchers and system designers in this field are particularly focused including performance assessment. This work, after an introduction of basic concepts, provides an overview of past and recent results of the research on DSSs for maritime operations at NURC with a focus on fuzzy logic based systems, use of probabilistic METOC forecasts and impact of data uncertainty on the decision process. In the second part of the work we revise new research directions aimed at improving both uncertainty handling and human performance under stress fatigue and time pressure. Under investigation the possibility to exploit the Computing With Words (CWW) framework to reduce cognitive workload. Performance assessment, which requires specific metrics and evaluation methodologies, is also under study.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
