Fitting Aggregation Functions to Data: Part II - Idempotization

DOI10.1007/978-3-319-40581-0_63zbMath1455.68157OpenAlexW2478736805MaRDI QIDQ5117243

Marek Gagolewski, Gleb Beliakov, MacIej Bartoszuk, Simon James

Publication date: 20 August 2020

Published in: Information Processing and Management of Uncertainty in Knowledge-Based Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-40581-0_63

zbMATH Keywords

aggregation functionsleast-squares fittingidempotenceweighted quasi-arithmetic means

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items

Fitting Aggregation Functions to Data: Part I - Linearization and Regularization

Uses Software

• R
• CMA-ES
• ElemStatLearn

Cites Work

• Learning weights in the generalized OWA operators
• Towards a new evolutionary computation. Advances on estimation of distribution algorithms.
• Construction of aggregation functions from data using linear programming
• How to build aggregation operators from data
• MONOTONE APPROXIMATION OF AGGREGATION OPERATORS USING LEAST SQUARES SPLINES
• Fitting Aggregation Functions to Data: Part I - Linearization and Regularization
• The elements of statistical learning. Data mining, inference, and prediction