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A multi-paradigm decision modeling framework for combat system effectiveness measurement based on domain-specific modeling

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Journal of Zhejiang University-Science C(Computers and Electronics) 2013年第5期14卷 311-331页

作者： Xiao-bo LI Yong-lin LEI Hans VANGHELUWE Wei-ping WANG Qun LI Institute of Simulation Engineering College of Information Systems and ManagementNational University of Defense Technology Department of Mathematics and Computer Science University of Antwerp

decision modeling is an essential part of the combat system effectiveness simulation (CoSES), which needs to cope with the cognitive quality, diversity, flexibility, and higher abstraction of decision making. In this paper, a multi-paradigm decision modeling framework is proposed to support decision modeling at three levels of abstraction based on domain-specific modeling (DSM). This framework designs a domain-specific modeling language (DSML) for decision modeling to raise the abstraction level of modeling, transforms the domain-specific models to formalism-based models to enable formal analysis and early verification and validation, and implements the semantics of the DSML based on a Python scripts framework which incorporates the decision model into the whole simulation system. The case study shows that the proposed approach incorporates domain expertise and facilitates domain modeler's participation in CoSES to formulate the problem using DSML in the problem domain, and enables formal analysis and automatic implementation of the decision model in the solution domain.

关键词： Multi-paradigm modeling (MPM) decision modeling Domain-specific modeling (DSM) Effectiveness measurement Model transformation

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VIEWING URBAN DISRUPTIONS FROM A decision INFORMATICS PERSPECTIVE

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Journal of Systems Science and Systems Engineering 2005年第3期14卷 257-288页

作者： James M. TIEN Rensselaer Polytechnic Institute Troy New York USA

Urban infrastructures are the focus of terrorist acts because, quite simply, they produce the most visible impact, if not casualties. While terrorist acts are the most insidious and onerous of all disruptions, it is obvious that there are many similarities to the way one should deal with these willful acts and those caused by natural and accidental incidents that have also resulted in adverse and severe consequences. However, there is one major and critical difference between terrorist acts and the other types of disruptions： the terrorist acts are willful - and therefore also adaptive, if not coordinated. One must counter these acts with the same, if not more sophisticated, willful, adaptive and informed approach. Real-time, information-based decision making - which Tien （2003） has called the decision informatics paradigm - is the approach advanced herein to help make the right decisions at the various stages of a disruption. It is focused on decisions and based on multiple data sources, data fusion and analysis methods, timely information, stochastic decision models and a systems engineering outlook; moreover, it is multidisciplinary, evolutionary and systemic in practice. The approach provides a consistent way to address real-time emergency issues, including those concerned with the preparation for a major disruption, the prediction of such a disruption, the prevention or mitigation of the disruption, the detection of the disruption, the response to the disruption, and the recovery steps that are necessary to adequately, if not fully, recuperate from the disruption. The efforts of the U. S. Department of Homeland Security and its academically-based Homeland Security Centers of Excellence are considered within the proposed types, stages and decisions framework.

关键词： Data fusion data analysis adaptive algorithms decision modeling systems engineering

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