An Integrated Framework Of Decision Support System In Crime Prevention
نویسنده
چکیده
Crime prevention is the initiation and attempting to reduce, deter or remove crime and criminals. It includes the anticipation, recognition, and appraisal of making the right decision in crime risk. The decision support system (DSS) framework for decision making process has been developed to assist the decision makers. This research work is one of the efforts in crime prevention. The proposed framework contains of the decision making process based on crime forecasting interval range results. The Fuzzy alpha cut (FAC) and fuzzy inference system (FIS) are used in our proposed DSS framework. The use of expert system in the framework becomes a major discussion in this study. The aims are to enhance the interval range of crime forecasting and to improve the capabilities of DSS in terms of improving the decision making process and selecting the right action for crime prevention.
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