TY  - CHAP
AU  - Beliakov, G.
AU  - James, S.
AU  - Gómez, D.
AU  - Rodríguez, Juan Tinguaro
AU  - Montero, Javier
A4  - Baczy�nski, Michal
A4  - Baets, Bernard de
A4  - Mesiar, Radko
PY  - 2015
SN  - 978-83-8012-519-3
UR  - https://hdl.handle.net/20.500.14352/35762
AB  - In this paper we develop a data-driven weight learning method for weighted quasiarithmetic means where the observed data may vary in dimension.
LA  - eng
M2  - 49
PB  - TOTEM.COM.PL SP
KW  - Aggregation functions
KW  - Rstability
KW  - Linear programming
KW  - Weights learning
TI  - Learning stable weights for data of varying dimension
TY  - book part
ER  -