摘要
首先引入直觉模糊集下的模糊蕴涵算子运算方法,设计应用直觉模糊蕴涵算子的直觉模糊推理机模型的设计,阐述模型的运行机理,通过实例验证直觉模糊推理机模型的有效性和正确性。提出选择模糊蕴涵算子的贴近度法,在具体应用领域中可根据比较结果作具体选择。
This paper first introduced implication operators for intuitionistic fuzzy reasoning. Designed a simple intuitionistic fuzzy reasoning machine and two-scale intuitionistic fuzzy reasoning machine in detail. Experiments illustrate that reasoning machine are efficient and valid. Based on closeness degree,proposed a choosing schema upon the fuzzy implication operators for intuitionistic fuzzy reasoning, which could be applied into concrete fuzzy reasoning problems.
出处
《计算机应用研究》
CSCD
北大核心
2011年第12期4478-4480,共3页
Application Research of Computers
基金
国家自然科学基金资助项目(71071098)
上海市教委培养优秀青年教师基金资助项目(S10010)
上海市重点学科建设项目(S30504)
上海理工大学博士科研启动经费资助项目(1D-10-303-002)
关键词
直觉模糊集
模糊推理
模糊蕴涵
模糊集
关系合成
intuitionistic fuzzy sets
fuzzy reasoning
fuzzy implication
fuzzy sets
relation composition
