Regarding the set of all feature attributes in a given database as
the universal set, this monograph discusses various nonadditive set
functions that describe the interaction among the contributions
from feature attributes towards a considered target attribute.
Then, the relevant nonlinear integrals are investigated. These
integrals can be applied as aggregation tools in information fusion
and data mining, such as synthetic evaluation, nonlinear
multiregressions, and nonlinear classifications. Some methods of
fuzzification are also introduced for nonlinear integrals such that
fuzzy data can be treated and fuzzy information is retrievable.
The book is suitable as a text for graduate courses in
mathematics, computer science, and information science. It is also
useful to researchers in the relevant area.
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