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针对复杂决策系统的异构性及推理策略协同问题,提出了基于Vague集的方案决策系统框架及推理模型,包括分级策略、多维证据/决策点和方案优选三个子模型。解决了决策目标与动态工作流结合问题,提高了信息融合度和动态决策过程中对非结构化信息处理的有效性。采用嵌入式算法结构解决了资源节约与提高系统重用性的计算问题。通过实例验证了该推理机制及模型的可行性。
Aiming at the heterogeneity of complex decision system and the synergetic problem of reasoning strategy, a framework and reasoning model of scenario decision system based on Vague set are proposed, including three sub-models: hierarchical strategy, multidimensional evidence / decision point and scheme optimization. It solves the problem of the combination of decision-making goal and dynamic workflow, and improves the efficiency of unstructured information processing in information fusion and dynamic decision making. The embedded algorithm structure is used to solve the problem of resource saving and system reusability calculation. The feasibility of the reasoning mechanism and the model is verified through examples.