摘要
针对不确定环境下动态模糊知识获取与推理的难题,提出了一种基于动态模糊语言决策形式背景的推理方法。首先,为了在动态环境中表示模糊语言信息,基于语言术语集提出了动态模糊语言术语集,并讨论了相关性质。然后,为了更好的表示动态模糊语言信息,定义了动态模糊语言形式背景,获取动态模糊语言概念,并构建相应的概念格。最后,通过定义动态模糊语言决策形式背景的细于关系提取动态模糊语言决策规则,并定义了动态模糊语言相似度计算方法,基于此提出一种用来预测不确定决策结果的动态模糊语言推理方法。
Aiming at the difficult problems of acquiring and reasoning with dynamic fuzzy knowledge in uncertain environment, this paper focuses on a dynamic fuzzy linguistic reasoning method based on the dynamic fuzzy linguistic formal decision context. Specifically, in order to better express linguistic information in the dynamic fuzzy environment, we propose a dynamic fuzzy linguistic term set based on linguistic term set and discuss related properties. In order to better represent dynamic fuzzy linguistic information, we define the dynamic fuzzy linguistic formal context, acquire dynamic fuzzy linguistic concept, as well as dynamic fuzzy linguistic concept lattice is constructed. Furthermore, we extract the dynamic fuzzy linguistic decision rule based on the fine relation of dynamic fuzzy linguistic formal decision context, and the similarity calculation method for dynamic fuzzy linguistic is also defined. Based on that, we propose a dynamic fuzzy linguistic reasoning method reasoning method for predicting uncertain decision results.
作者
贾楠
邹丽
张晓辉
JIA Nan;ZOU Li;ZHANG Xiao-hui(School of Computer and Information Technology,Liaoning Normal University,Dalian 116081,China;School of Computer Science and Technology,Shandong Jianzhu University,Jinan 250102,China)
出处
《模糊系统与数学》
北大核心
2022年第6期137-148,共12页
Fuzzy Systems and Mathematics
基金
国家自然科学基金资助项目(62176142)
辽宁省教育厅项目(LJ2020007)。
关键词
语言术语集
模糊推理
概念格
Linguistic Term Set
Fuzzy Reasoning
Concept Lattice
