摘要
首先设计直觉模糊集的真度λ截集方法,并结合该方法提出了基于直觉模糊集的模糊信息系统IS_I;然后详细分析了IS_I的系统模型和系统的对象可满足性,证明了IS_I是其他信息系统的泛化;最后提出了IS_I的形式化概念分析理论,并分析了IS_I在知识发现和知识推理中的应用,理论验证和实例分析结果均表明了IS_I系统模型在描述客观世界和支持模糊推理方面的正确性和有效性。
Firstly, a method of intuitionistic fuzzy sets based truth A cut sets is presented. Based on this cut sets method, an intuitionistic fuzzy set based fuzzy information system ISx（intuitionistic fuzzy information system） is proposed. The system model and the objects satisfiability at a given threshold are analyzed in detail. It is proved that ISI are the generalization of traditional information systems. Finally, an ISI based formal concept analysis theory is proposed, and the application of IS in the knowledge discovery and knowledge reasoning is discussed. Theory analysis and examples show the correction and effectiveness of IS： in term of real world description and fuzzy reasoning.
出处
《控制与决策》
EI
CSCD
北大核心
2012年第9期1337-1342,共6页
Control and Decision
基金
上海市教委培养优秀青年教师基金项目(S1g10010)
国家自然科学基金项目(71071098)
上海市教育委员会科研创新项目(12YZ103)
上海市重点学科项目(S30504)
教育部人文社会科学基金项目(12YJC870037)
关键词
直觉模糊集
决策逻辑语言
模糊集
信息系统
系统模型
intuitionistic fuzzy set decision logic language fuzzy set information system system model
