摘要
提出了带参数区间值直觉模糊集的概念,构造了一系列带参数的区间值直觉模糊集。从已知隶属度和非隶属度出发,重点分析了激励惩罚型变参数区间值直觉模糊集的构造。运用模式识别与医疗诊断案例进行对比。仿真实验结果表明,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） is introduced, and a series of IVIFSP is presented.Based on the degree of membership and the degree of non-membership,this paper focuses on the con- struction of incentive-penalty interval-valued intuitionistic fuzzy sets with varying parameter.A pattern recognition example and a medical diagnosis decision-making example are given to demonstrate the application of IVIFSP.The simulation results show that the method of IVIFSP is more flexible than that of the traditional intuitionistic fuzzy sets.
出处
《计算机工程与应用》
CSCD
北大核心
2011年第29期4-7,39,共5页
Computer Engineering and Applications
基金
国家自然科学基金(the National Natural Science Foundation of China under Grant No.61070061
No.70801020)
广东省自然科学基金(No.9151026005000002)
广东省高等院校学科建设专项资金(No.396-GK100018)
广东外语外贸大学校级项目(No.GW20052013)
关键词
直觉模糊集
区间值直觉模糊集
变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 vary-ing parameters
pattern recognition
