On the approximation of a membership function by empirical quantile functions

被引:6
|
作者
Guerra, Maria Letizia [1 ]
Sorini, Laerte [2 ]
Stefanini, Luciano [2 ]
机构
[1] Univ Bologna, Dept Stat Sci Paolo Fortunati, Bologna, Italy
[2] Univ Urbino Carlo Bo, Dept Econ, Soc, Polit, Urbino, Italy
关键词
Possibility distribution; Fuzzy intervals; Quantiles; Average Cumulative Function (ACF); FUZZY-SETS; FAMILY;
D O I
10.1016/j.ijar.2020.06.012
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The Average Cumulative representation of fuzzy intervals is connected with the possibility theory in the sense that the possibility and necessity functions are substituted by a pair of non decreasing functions defined as the positive and negative variations in the Jordan decomposition of a membership function. In this paper we motivate the crucial role of ACF in determining the membership function from experimental data; some examples and simulations are shown to state the robustness of the proposed construction. (C) 2020 Elsevier Inc. All rights reserved.
引用
收藏
页码:133 / 146
页数:14
相关论文
共 50 条