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A bi-directional fuzzy logic theory: the generalized Knuth's triadic logic for information retrieval

机译:双向模糊逻​​辑理论:信息检索的广义Knuth的三元逻辑

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Standard logic only deals with true and false, i.e. {0, 1}. Zadeb discovered a type of logic that can contain values in 10, 1J which is called fuzzy logic today. On the other hand, the many-valued logic was first studied by Lukasiewicz. He created a so-called triadic logic by adding a 112 into the binary set {0, 1}. Knuth modified Lukasiewicz's triadic logic to {-1, 0, +1} rather than Lukasiewicz's {0, 1/2, 1}. This paper will combine Fuzzy logic with Knuth's {-1, 0, +1}, and focus on developing a bidirectional fuzzy logic theory applied to information retrieval with expert relevance feedback and document relevance computing.
机译:标准逻辑仅处理true和false,即{0,1}。 ZadeB发现了一种逻辑类型,可以包含10,19中的值,该值被称为模糊逻辑。另一方面,卢卡赛首先通过Lukasiewicz研究了许多值逻辑。他通过将112添加到二进制集{0,1}中来创建所谓的三合一逻辑。 Knuth修改了Lukasiewicz的三元逻辑到{-1,0,+1}而不是lukasiewicz的{0,1/2,1}。本文将使用Knuth的{-1,0,+1}组合模糊逻辑,并专注于开发双向模糊逻​​辑理论,应用于信息检索与专家相关反馈和文档相关计算。

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