Fitting fuzzy measures by linear programming. Programming library fmtools
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.
History
Pagination
862 - 867Location
Hong KongPublisher DOI
Open access
- Yes
Start date
2008-06-01End date
2008-06-06ISSN
1098-7584ISBN-13
9781424418190Language
engNotes
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E1 Full written paper - refereed; E Conference publicationCopyright notice
2008, IEEE.Editor/Contributor(s)
G FengTitle of proceedings
2008 IEEE International Conference on Fuzzy Systems : proceedings : FUZZ-IEEE 2008Usage metrics
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