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A Rule-Based Guidance (RBG) system with graphical representation of uncertainty

机译:具有不确定性图形表示的基于规则的制导(RBG)系统

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Automated expert systems provide decision support for certain subject domain by prompting users for answers. The answers could either be a `yes', `no', or a selected response from multiple choice items. To date, there is no account of any expert system which allows a user to defer or revise his/her response to a particular question. Our Rules-Based Guidance (RBG) System provides such flexibility to the user. At the same time, its recommendation (or conclusion) is updated accordingly to the revised or new input by user. Legislation compliance is complex and thus rules represented in the knowledge are complex Boolean expressions. Easily comprehensible and intuitive information visualization is necessary to help a lay user understand the reasoning process, derivation of the final recommendation, and also to revisit the state of his/her responses to a fixed set of questions. Thus, RBG System has provided functionality for transforming Boolean expressions (with user associated inputs) into a Directed Acyclic Graph (DAG).
机译:自动化专家系统通过提示用户答案来为某些主题领域提供决策支持。答案可以是“是”,“否”,或者是从多个选择项中选择的答案。迄今为止,还没有任何专家系统可以使用户推迟或修改他/她对特定问题的回答。我们的基于规则的指导(RBG)系统为用户提供了这种灵活性。同时,其建议(或结论)将根据用户的修订或新输入进行更新。立法合规性很复杂,因此知识中表示的规则是复杂的布尔表达式。易于理解和直观的信息可视化对于帮助非专业用户理解推理过程,最终建议的推导,以及重新审视其对固定问题集的响应状态非常必要。因此,RBG系统提供了用于将布尔表达式(具有用户关联的输入)转换为有向非循环图(DAG)的功能。

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