摘要
基于直觉模糊集和数值拟合技术,考虑其隶属度与非隶属度两个因素的影响,提出了一种直觉模糊集的近似推理算法。首先给出了直觉模糊集的定义,推导出了一种数值拟合方法,讨论了GMP问题和GMT问题的一般推理过程。其次,重点研究了基于直觉模糊逻辑的近似推理方法。最后以具体算例验证了所提方法的正确性和有效性。
Based on IFS and data fitness technique, and in consideration of the effects of both the membership and the non - membership, an approximate reasoning method of IFS is proposed, First, the definition of IFS and a method of data fitness are given. The reasoning process of GMP and GMT is discussed. Second, the emphasized investigation is made on the techniques for approximate reasoning on IFS. Finally, the correctness and validity of the proposed method is verified by a concrete instance.
出处
《空军工程大学学报（自然科学版）》
CSCD
北大核心
2008年第1期82-85,共4页
Journal of Air Force Engineering University(Natural Science Edition)
基金
国家自然科学基金资助项目(60773209)
陕西省自然科学基金资助项目(2006F18)
关键词
直觉模糊集(IFS)
近似推理
数值拟合
intuitionistic fuzzy sets （IFS）
approximate reasoning
data fitness
