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作 者:邹丽[1] 冯凯华 刘新[2] Zou Li;Feng Kaihua;Liu Xin(School of Computer and Information Technology,Liaoning Normal University,Dalian,Liaoning 116081;School of Mathematics,Liaoning Normal University,Dalian,Liaoning 116029)
机构地区:[1]辽宁师范大学计箅机与信息技术学院,辽宁大连116081 [2]辽宁师范大学数学学院,辽宁大连116029
出 处:《计算机研究与发展》2018年第8期1726-1734,共9页Journal of Computer Research and Development
基 金:国家自然科学基金项目(61772250,61673320,61672127);中央高校基本科研业务费专项资金(2682017ZT12);辽宁省自然科学基金项目(2015020059)
摘 要:人们经常用自然语言进行推理判断和决策,针对具有语言值信息的不确定问题,基于语言值直觉模糊代数和直觉模糊形式背景,提出了语言值直觉模糊形式背景并讨论了其相关性质,建立了语言值直觉模糊概念格.研究了语言值直觉模糊形式概念之间的贴近度,进一步给出语言值直觉模糊形式概念格之间的贴近度,进而提出了语言值直觉模糊概念格的模式识别方法,并将其应用到中医疾病诊断识别中,说明所提出方法的有效性和实用性.Natural language is always used to reason or make decision. For the uncertain problems represented by linguistic values, inspired by the linguistic value intuitionistic fuzzy algebra and the intuitionistic fuzzy formal context, the linguistic-valued intuitionistic fuzzy formal context is proposed and its related properties are analyzed. Accordingly, the linguistic-valued intuitionistic fuzzy concept lattice is constructed. Based on the degree of similarity between two linguistic-valued intuitionistic fuzzy concepts, the degree of similarity between two linguistic-valued intuitionistic fuzzy concept lattices is presented, and the pattern recognition method based on linguistic-valued intuitionistic fuzzy concept lattice is proposed. The effectiveness and practicability of this method are illustrated by an example of diagnosis and recognition of Chinese medicine diseases.
关 键 词:语言值直觉模糊形式背景 语言值直觉模糊概念格 贴近度 模式识别方法 中医专家诊断系统
分 类 号:TP181[自动化与计算机技术—控制理论与控制工程]
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