高校决策支持的模糊法律推理

D. Sharma, S. Behari
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引用次数: 0

摘要

根据规定规则和案件事实对大学生违纪案件进行判决是人工智能研究的一个有趣问题。用模糊的规则和事实进行推理会增加问题的复杂性。本文讨论了该问题的各种特点,并提出了一个原型的设计和实现,该原型被建模为一个模糊专家系统。给出了一些试验结果,并讨论了从工程中获得的经验。未来的一些工作还建议进一步加强原型,包括正式的案例规范和交互语言,并可能从以前的案例知识库中绘制和使用相关信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A fuzzy legal reasoner for university decision support
Deciding on university student disciplinary cases against stipulated rules and case facts an interesting problem for artificial intelligence. Reasoning with fuzzy rules and facts adds to the problem complexity. This paper discusses the various characteristics of the problem and presents a design and an implementation of a prototype that is modeled as a fuzzy expert system. Some test results are presented and the experience gained from the project is discussed. Some future work is also suggested to further strengthen the prototype to include a formal case specification and interaction language, and the possible drawing and use of relevant information from a knowledge base of previous cases.
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