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首页> 外文期刊>International journal of machine learning and cybernetics >Three-way fuzzy concept lattice representation using neutrosophic set
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Three-way fuzzy concept lattice representation using neutrosophic set

机译:中智集的三向模糊概念格表示

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Recently, three-way concept lattice is studied to handle the uncertainty and incompleteness in the given attribute set based on acceptation, rejection, and uncertain regions. This paper aimed at analyzing the uncertainty and incompleteness in the given fuzzy attribute set characterized by truth-membership, indeterminacy-membership, and falsity membership functions of a defined single-valued neutrosophic set. For this purpose a method is proposed to generate the component wise three-way formal fuzzy concept and their hierarchical order visualization in the fuzzy concept lattice using the properties of neutrosophic graph, neutrosophic lattice, and Godel residuated lattice with an illustrative example.
机译:最近,研究了三向概念格来处理基于接受,拒绝和不确定区域的给定属性集中的不确定性和不完整性。本文旨在分析给定模糊属性集的不确定性和不完备性,这些模糊属性集以已定义的单值中智集的真隶属度,不确定性隶属度和虚假隶属度函数为特征。为此,提出了一种方法,利用中智图,中智晶格和Godel剩余格的性质,在示例性实例中生成了分量智能三向形式模糊概念及其在层次概念可视化的概念。

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