DC optimization for constructing discrete Sugeno integrals and learning nonadditive measures

Volume: 69, Issue: 12, Pages: 2515 - 2534
Published: Dec 26, 2019
Abstract
Defined solely by means of order-theoretic operations meet (min) and join (max), weighted lattice polynomial functions are particularly useful for modelling data on an ordinal scale. A special case, the discrete Sugeno integral, defined with respect to a nonadditive measure (a capacity), enables accounting for the interdependencies between input variables. However, until recently the problem of identifying the fuzzy measure values with respect...
Paper Details
Title
DC optimization for constructing discrete Sugeno integrals and learning nonadditive measures
Published Date
Dec 26, 2019
Volume
69
Issue
12
Pages
2515 - 2534
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