Fitting fuzzy measures by linear programming. Programming library fmtools

被引：6

作者：

Beliakov, Gleb ^{[1
]}

机构：

[1] Deakin Univ, Sch Informat Technol & Engn, Burwood 3125, Australia

来源：

2008 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-5 | 2008年

关键词：

D O I：

10.1109/FUZZY.2008.4630471

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We discuss the problem of learning fuzzy measures from empirical data. Values of the discrete Choquet integral are fitted to the data in the least absolute deviation sense. This problem is solved by linear programming techniques. We consider the cases when the data are given on the numerical and interval scales. An open source programming library which facilitates calculations involving fuzzy measures and their learning from data is presented.

引用

页码：862 / 867

页数：6

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