非线性积分及其在数据挖掘中的应用：The theory of nonadditive set functions and relevant nonlinear integrals,
as a new mathematics branch, has been developed for more than thirty
years. Starting from the beginning of the nineties of the last century,
several monographs were published. The first author of this monograph
and Professor George J. Klir (The State University of New York
at Binghamton) have published two books, Fuzzy Measure Theory
(Plenum Press, New York, 1992) and Generalized Measure Theory
(Springer-verlag, New York, 2008) on this topic. These two books
cover most of their theoretical research results with colleagues at the
Chinese University of Hong Kong in the area of nonadditive set
functions and relevant nonlinear integrals. Since the 1980s, nonadditive
set functions and nonlinear integrals have been successfully applied in
information fusion and data mining. However, only a few applications
are involved in the above-mentioned books. As a supplement and indepth
material, the current monograph, Nonlinear Integrals and Their
Applications in Data Mining, concentrates on the applications in data
analysis. Since the number of attributes in any database is always finite,
we focus on our fundamentally theoretical discussion of nonadditive set
function and nonlinear integrals, which are presented in the first several
chapters, on the finite universal set, and abandon all convergence and
limit theorems.
