摘要
通过分析比较,揭示了可变集理论中考虑区间值的相对隶属函数与传统的线性模糊分布函数之间的一些区别与联系,即传统的线性模糊分布函数是考虑区间值的相对隶属函数的一些特例,考虑区间值的相对隶属函数在描述模糊现象的模糊性时更具有普适性;同时指出了应用考虑区间值的相对隶属函数时应当注意的问题.
In this paper, the difference and relation between the relative membership func- tion based on interval pattern value, in variable fuzzy set theory, and the traditional distri- bution function were found, i.e. the traditional fuzzy distributions were some special cases of the relative membership function based on interval pattern value, and the relative mem- bership function based on interval pattern value is powerful and adaptable widely. Finally, the noticeable problem for the relative membership function is pointed nnt.
出处
《数学的实践与认识》
CSCD
北大核心
2013年第10期201-205,共5页
Mathematics in Practice and Theory
基金
国家自然科学基金(51209032)
关键词
区间
相对隶属函数
模糊分布
interval
relative membership function
fuzzy distribution
