基于模糊对象语言概念格的规则提取
Rule extraction based on linguistic concept lattice with fuzzy object
吴江 1刘德山 1于莹莹 1庞阔 2李晓峰3
作者信息
- 1. 辽宁师范大学计算机与人工智能学院,辽宁 大连 116081
- 2. 大连海事大学信息科学与技术学院,辽宁 大连 116026
- 3. 山东建筑大学计算机科学与技术学院,山东 济南 250101
- 折叠
摘要
针对不确定环境下模糊语言决策信息的处理问题,本文提出基于不协调模糊对象语言决策形式背景的具有置信度的语言规则提取方法.构建不协调模糊对象语言决策形式背景,基于模糊对象语言概念格之间的细于关系对模糊对象语言决策形式背景的协调性进行讨论.给出规则置信度的定义,借助规则置信度研究不协调模糊对象语言决策形式背景上的提取规则,提出相应的具有置信度的语言规则提取方法.通过学校学生整体成绩预测实例与实验说明该方法的有效性与实用性.
Abstract
Aiming at the problem of linguistic decision-making information processing under uncertain environment,a method of rule extraction with confidence in inconsistent linguistic formal decision context with fuzzy object is proposed.The inconsistent linguistic formal decision context with fuzzy object is established to express the linguistic evaluation information of expert's hesitation between adjacent linguistic values.Based on the finer relation between linguistic concept lattices with fuzzy object,the consistency of linguistic formal decision context with fuzzy object is discussed.The definition of the confidence in rules is given.A method of rule extraction in inconsistent linguistic formal decision context with fuzzy object is proposed based on the confidence of linguistic rule.The effectiveness and practicability of the proposed method are illustrated by an example of predicting the overall performance of school students and an experiment.
关键词
形式概念分析/模糊对象语言概念格/不协调决策形式背景/规则提取/置信度Key words
formal concept analysis/linguistic concept lattice with fuzzy object/inconsistent formal decision context/rule extraction/confidence引用本文复制引用
出版年
2024
NETL
NSTL
万方数据