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.
EventIEEE International Conference on Fuzzy Systems (17th : 2008 : Hong Kong)
Pagination862 - 867
Place of publicationPiscataway, N.J.
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Publication classificationE1 Full written paper - refereed; E Conference publication
Copyright notice2008, IEEE.
Title of proceedings2008 IEEE International Conference on Fuzzy Systems : proceedings : FUZZ-IEEE 2008