中智模糊半概念知识提取研究  

Research on Knowledge Extraction of Neutrosophic Fuzzy Semiconcept

作　　者：毛华[1,2] 郑博雅 胥德华 张植明[1] 杨兰珍[1] MAO Hua;ZHENG Boya;XU Dehua;ZHANG Zhiming;YANG Lanzhen(College of Mathematics and Information Sciences,Hebei University,Baoding 071002,China;Hebei Key Laboratory of Machine Learning and Computational Intelligence,Baoding 071002,China)

机构地区：[1]河北大学数学与信息科学学院,河北保定071002 [2]河北省机器学习与计算智能重点实验室,河北保定071002

出　　处：《郑州大学学报（理学版）》2023年第6期84-90,共7页Journal of Zhengzhou University:Natural Science Edition

基　　金：国家自然科学基金项目(61572011)。

摘　　要：在中智模糊形式背景下,将三支中智模糊概念与经典半概念相结合,提出面向属性的中智模糊半算子与面向对象的中智模糊半算子,进一步得到面向属性的中智模糊半概念与面向对象的中智模糊半概念。在此基础上,讨论了它们在形式概念分析理论中的核心结构——格,并得到构造其格结构的算法。通过实际案例说明了中智模糊半概念的应用价值,为知识提取提供了一种新方法。Combining the three-way neutrosophic fuzzy concept with the classical semiconcept in the neutrosophic fuzzy formal context,the attribute-oriented neutrosophic fuzzy semioperator and object-oriented neutrosophic fuzzy semioperator were proposed.Furthermore,the attribute-oriented neutrosophic fuzzy semiconcept and object-oriented neutrosophic fuzzy semiconcept were obtained.On this basis,the core structure lattice in formal concept analysis theory was discussed,and the algorithms for constructing these lattice structures were obtained.Some practical cases illustrated the application value of the neutrosophic fuzzy semiconcept,which provided a new method for knowledge extraction.

关 键 词：中智模糊形式背景 中智模糊半算子 中智模糊半概念 知识提取 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]