三I算法的鲁棒性  

The Robustness of the Triple I Method

作　　者：杨超[1] 李得超[1] 

机构地区：[1]浙江海洋学院数理与信息学院,浙江舟山316000

出　　处：《模糊系统与数学》2014年第1期72-77,共6页Fuzzy Systems and Mathematics

基　　金：浙江省自然科学基金资助项目(LY12A01009)

摘　　要：基于三I算法的模糊推理不仅在语义上而且在语构上均有合理的解释。在模糊推理三I算法中,研究输入的微小变化所引起输出变化幅度尤为重要。本文首先给出了基于QL蕴涵的三I算法的表达式,进一步借助模糊连接词的鲁棒性,系统地研究了基于几种常见的蕴涵的三I算法的鲁棒性。The fuzzy reasoning based on triple I method shows a reasonable explanation not only in semantic but also in syntactic. In triple I method of fuzzy reasoning, it is important to study that the small varieties of input results in the amplitude of output. This paper represents firstly the expression of triple I method based on QL implication. And then investigates the robustness of triple I method based on some usual fuzzy implications applying the robustness of fuzzy logical connectives in detail.

关 键 词：QL蕴涵 三I算法 模糊连接词 鲁棒性 

分 类 号：O159[理学—数学]