Construction of k-Lipschitz Triangular Norms and Conorms From Empirical Data

被引:4
作者
Beliakov, Gleb [1 ]
Calvo, Tomasa [2 ]
机构
[1] Deakin Univ, Sch Informat Technol, Burwood, Vic 3125, Australia
[2] Univ Alcala De Henares, Dept Ciencias Computac, Madrid 28871, Spain
关键词
Aggregation operators; fuzzy sets; k-Lipschitz aggregation functions; triangular norms; AGGREGATION OPERATORS; APPROXIMATION;
D O I
10.1109/TFUZZ.2009.2024412
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper examines the practical construction of k-Lipschitz triangular norms and conorms from empirical data. We apply a characterization of such functions based on k-convex additive generators and translate k-convexity of piecewise linear strictly decreasing functions into a simple set of linear inequalities on their coefficients. This is the basis of a simple linear spline-fitting algorithm, which guarantees k-Lipschitz property of the resulting triangular norms and conorms.
引用
收藏
页码:1217 / 1220
页数:4
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