摘要
在分析Vague集性能的基础上 ,提出了Vague集的一种新的三维表示方法 ,用空间曲线来表示Vague集的隶属函数 ,能更直观地反映Vague集所包含的模糊信息 ,在此基础上给出了该Vague集的相似度量算法 ,反模糊化算法以及近似推理算法 .
The Vague set's properties are fist discussed and then a new expression method is proposed. The use of spatial curvilinear in the description of sion method is proposed. The use of spatial curvilinear in the description of the Vague set can make the expression of the fuzzy information more clear. Based on this idea, such algorithms as similarity measure, defuzzification algorithm and approximate reasoning method are presented.
出处
《华中科技大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2002年第10期44-46,共3页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
国家高性能计算基金资助项目 (0 0 3 0 3 ) .
