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基于连续值信息系统的模糊规则抽取

Extracting fuzzy rules based on continuous information system
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摘要 基于模糊隶属度函数和模糊蕴含算子,对于连续值信息系统和决策信息系统,提出抽取简单语言描述命题和复合语言规则的方法。抽取实验的结果表明,通过设置不同的阈值,该方法可获得不同支持度的直观结果,为获得信息系统的整体分布信息和可能蕴含的规则提供帮助。 Based on the fuzzy membership function and the fuzzy implication operator, we proposed a method of extracting simple lingual descriptive proposition and composite lingual rules on the continuous information system and decision information system. Extrac- ting experiments indicate that this method can obtain different support intuitive results by setting different thresholds, which can help to get entire distributive information and implicative rules of the information system.
作者 吉家锋 裴峥
出处 《济南大学学报(自然科学版)》 CAS 北大核心 2016年第1期23-28,共6页 Journal of University of Jinan(Science and Technology)
基金 国家自然科学基金(61372187) 四川省科技支撑计划(2013GXZ0155) 西华大学研究生创新基金(ycjj2014038)
关键词 信息系统 模糊规则 命题抽取 规则抽取 information system fuzzy rule proposition extract rule extract
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