摘要
首次提出了带参数区间值直觉模糊集的概念,并构造了一系列带参数的区间值直觉模糊集。接着,从已知隶属度和非隶属度出发,重点分析了单参数区间值直觉模糊集的构造。最后,构造了模式分界点的参数方程,并从理论上证明了临界值对模式识别结果有影响。模式识别实验结果表明,带参数区间值直觉模糊集方法比传统的直觉模糊集方法更具灵活性。
The concept of interval-valued intuitionistic fuzzy sets with parameters（IVIFSP） was first introduced,and a series of IVIFSP were presented.Based on the degree of membership and the degree of non-membership,this paper focused on the construction of interval-valued intuitionistic fuzzy sets with single-parameter.Finally,parameter equation with critical point between any two patterns was constructed,and the critical point was proved to be theoretically effective in analyzing the result of pattern recognition.The results of pattern recognition simulation show that the method of IVIFSP is more flexible than that of the traditional intuitionistic fuzzy sets.
出处
《计算机科学》
CSCD
北大核心
2011年第9期215-219,共5页
Computer Science
基金
国家自然科学基金(61070061
70801020)
广东外语外贸大学校级项目(GW20052013)
广东省自然科学基金(9151026005000002)
广东省高等院校学科建设专项(396-GK100018)资助
关键词
直觉模糊集
区间值直觉模糊集
带参数区间值直觉模糊集
模式识别
Intuitionistic fuzzy sets
Interval-valued intuitionistic fuzzy sets
Interval-valued intuitionistic fuzzy sets with parameters
Pattern recognition
