| 能够表示缺省知识的模糊推理方法 |
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| 引用本文： | 张继福,杨作慎. 能够表示缺省知识的模糊推理方法[J]. 合肥工业大学学报(自然科学版), 1991, 0(1) |
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| 作者姓名： | 张继福 杨作慎 |
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| 作者单位： | 太原重机学院(张继福)，合肥工业大学(杨作慎) |
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| 摘 要： | 模糊推理是人工智能中的一种不精确推理方法。本文采用基于max—⊙复合运算下的新的复合推理规则,在基于R_b的模糊推理框架中,利用可能性量化语句,提出了一种能够表示缺省知识的模糊推理方法,从而,提高了模糊推理表示和知识处理的能力。
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| 关 键 词： | 模糊集 模糊推理 条件命题 缺省知识 缺省推理 |
A FUZZY REASONING METHOD OF BEING ABLE TO REPRESENT DEFAULT KNOWLEDGE |
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| Zhang Jifu Yang Zuoshen. A FUZZY REASONING METHOD OF BEING ABLE TO REPRESENT DEFAULT KNOWLEDGE[J]. Journal of Hefei University of Technology(Natural Science), 1991, 0(1) |
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| Authors: | Zhang Jifu Yang Zuoshen |
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| Affiliation: | Zhang Jifu Yang Zuoshen |
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| Abstract: | Fuzzy Reasoning is a kind of uncertain reasoning methods in Artificial Intelligence. This paper uses new compositional rules of inference, Which is based on max-compositional operation, using possible quantification sentences in the Fuzzy Reasoning Mme based on Rt,, Presents a Fuzzy Reasoning method Of being able to represent default knowledge, thus, enhances the capability of representing Fuzzy Reasoning and Processing knowledge. |
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| Keywords: | Fuzzy set Fuzzy reasoning Conditional proposition Default know- ledge Default reasoning |
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