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Decision supporting system based on fuzzy default reasoning

机译:基于模糊默认推理的决策支持系统

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The work concerns a new formalism of common-sense reasoning modeling. It combines ldquoclassicalrdquo Reiter's default logic and Brewka's cumulative default logic with Zadeh's generalized theory of uncertainty and granular reasoning. Various aspects of uncertainty and ignorance are discussed with respect to intelligent humans' behavior patterns. The paper introduces basic definitions of Fuzzy Default Logic (FDL) and presents the inference scheme together with the conclusion assessment procedure and problems of hypotheses stability. PROLOG implementation of the entire inference engine is given. The problems of hypotheses generation and revision of beliefs are discussed. Finally, FDL is compared to the answer set programming and other disjunction logic based approaches.
机译:这项工作涉及常识推理模型的新形式主义。它结合了经典经典的Reiter的默认逻辑和Brewka的累积默认逻辑以及Zadeh的不确定性和粒度推理的广义理论。关于智能人类的行为模式,讨论了不确定性和无知性的各个方面。本文介绍了模糊默认逻辑(FDL)的基本定义,并提出了推理方案,结论评估程序和假设稳定性问题。给出了整个推理引擎的PROLOG实现。讨论了假设产生和信念修正的问题。最后,将FDL与答案集编程和其他基于析取逻辑的方法进行比较。

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