DocumentCode
2904685
Title
Fitting fuzzy measures by linear programming. Programming library fmtools
Author
Beliakov, Gleb
Author_Institution
Sch. of Eng. & Inf. Technol., Deakin Univ., Melbourne, VIC
fYear
2008
fDate
1-6 June 2008
Firstpage
862
Lastpage
867
Abstract
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.
Keywords
data analysis; fuzzy systems; learning (artificial intelligence); linear programming; discrete Choquet integral; least absolute deviation sense; linear programming; open source programming library; programming library fmtools; Decision making; Expert systems; Fitting; Fuzzy logic; Impedance matching; Least squares methods; Libraries; Linear programming; Open wireless architecture; Quadratic programming;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on
Conference_Location
Hong Kong
ISSN
1098-7584
Print_ISBN
978-1-4244-1818-3
Electronic_ISBN
1098-7584
Type
conf
DOI
10.1109/FUZZY.2008.4630471
Filename
4630471
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