Skip to content
RDL
Network
Ekosistem
Uygulama değiştir
EN
Hakkımızda
SSS
Giriş yap
Başla
Sensitivity Analysis of Differentiation of the Choquet Integral as an Aggregation Function in data-mining — 敏浩 戒野 (2007) | RDL Network
Back
Cite
Save
Save for later
Share
Home
Publications
Sensitivity Analysis of Differentiation of the Choquet Integral as an Aggregation Function in data-mining
Shared by
Witold Pedrycz
University of Alberta
Sensitivity Analysis of Differentiation of the Choquet Integral as an Aggregation Function in data-mining
Article
2007
en
Authors
敏戒
敏浩 戒野
Witold Pedrycz
University of Alberta
薫広
薫 広田
Discussion
(0)
Sign in
to like and join the discussion.
No comments yet. Be the first to comment.
Related publications
Article
2008
Sensitivity Analysis of Differentiation of the Choquet Integral as an Aggregation Function
Toshihiro Kaino
,
Witold Pedrycz
,
Kaoru Hirota
Article
2022
Choquet Integral-Based Aggregation for the Analysis of Anomalies Occurrence in Sustainable Transportation Systems
Paweł Karczmarek
,
Łukasz Gałka
,
Adam Kiersztyn
,
Michał Dolecki
,
Krystyna Kiersztyn
,
Witold Pedrycz
Chapter in a book
2014
Sensitivity Analysis of Proactive Data Mining
Haim Dahan
,
Shahar Cohen
,
Lior Rokach
,
Oded Maimon
Article
2023
Quadrature-Inspired Generalized Choquet Integral in an Application to Classification Problems
Paweł Karczmarek
,
Michał Dolecki
,
Paweł Powroźnik
,
Zbigniew A. Łagodowski
,
Adam Gregosiewicz
,
Łukasz Gałka
,
Witold Pedrycz
,
Dariusz Czerwiński
,
Kamil Jonak
Article
2024
Analysis of smooth and enhanced smooth quadrature-inspired generalized Choquet integral
Paweł Karczmarek
,
Adam Gregosiewicz
,
Zbigniew A. Łagodowski
,
Michał Dolecki
,
Łukasz Gałka
,
Paweł Powroźnik
,
Witold Pedrycz
,
Kamil Jonak
Discussion(0)
No comments yet. Be the first to comment.