Intelligent Systems for Decision Support

نویسنده

  • Qiang Shen
چکیده

Decision support systems play an important role in many application domains. For instance, in the detection of serious crime, including terrorist activity, an intelligent system which is capable of automated modelling and analysis of intelligence data is of great importance. It will provide useful decision support for intelligence analysts, offering an effective means in the assessment of scenarios for possible crimes. Such systems will also facilitate rapid response in devising and deploying preventive measures. This paper describes the important challenges which face the development of intelligent decision support systems, with a focus on the problem of crime detection and prevention. It presents some recent advances in computational intelligence in general, and in fuzzy systems in particular. These advances contribute to the accomplishment of tasks essential for intelligence data monitoring (amongst other applications).

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تاریخ انتشار 2009