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A linguistic approach of knowledge representation with both negative and positive factors

机译:具有消极和积极因素的知识表示的语言方式

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Linguistic truth-valued intuitionistic fuzzy pairs can express fuzzy information with both positive side and negative side at the same time. In this paper, we construct a linguistic knowledge representation model using linguistic truth-valued intuitionistic credibility factors, which can express the positive evidence and the negative evidence in a rule with truth value and false value respectively. We give some essential reasoning operators for the linguistic knowledge representation model based on the linguistic truth-valued intuitionistic fuzzy lattice.
机译:语言真实性的直觉模糊对可以同时用正面和负面表达模糊信息。 在本文中,我们使用语言真实性的直观的信誉因素构建语言知识表示模型,可以分别表达实际值和假值的规则中的积极证据和否定证据。 基于语言真实性的直观的直觉模糊格子,我们为语言知识表示模型提供了一些基本的推理运营商。

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