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Soft Systems Methodology in Environment-Aware Case-Based Reasoning System Analysis

机译:基于环境的案例推理系统分析中的软系统方法

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The aim of this study is to examine the potential of Soft Systems Methodology (SSM) in the development of environment-aware Case-Based Reasoning (CBR) system. Having awareness of the computing system's environment is useful either for providing information or factor that can affect the system or effected by the events occur in the environment. The CBR system with environment awareness is able to employ realtime contextual information available in the environment. This information or knowledge will contribute to improve the problem descriptions as well as the solutions, in which the system not only depend on information given by user and historical cases. However, resources available in the environment need to be identified prior to the implementation of environment-aware CBR system. This requires an appropriate analysis methodology to build an explicit model of the system's environment to capture relevant environment knowledge for the system. This study presents the SSM analysis in the development of environment-aware CBR system. The discussion is illustrated with reference to the partial analysis of an environment-aware CBR system development. The deliverable of this initial analysis is an explicit model of the system's environment for environment-aware CBR system.
机译:这项研究的目的是检验软系统方法论(SSM)在开发基于环境的案例推理(CBR)系统中的潜力。了解计算系统的环境对于提供可能影响系统或受环境中发生的事件影响的信息或因素很有用。具有环境意识的CBR系统能够利用环境中可用的实时上下文信息。这些信息或知识将有助于改善问题描述和解决方案,其中系统不仅依赖于用户和历史案例给出的信息。但是,在实施环境感知型CBR系统之前,需要先确定环境中可用的资源。这就需要适当的分析方法来建立系统环境的显式模型,以捕获系统的相关环境知识。这项研究提出了环境意识的CBR系统开发中的SSM分析。参考对环境意识的CBR系统开发的部分分析来说明该讨论。初始分析的交付物是用于环境感知型CBR系统的系统环境的显式模型。

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