FITTING GENERATED AGGREGATION OPERATORS TO EMPIRICAL DATA

DOI10.1142/S0218488504002783zbMath1073.28012OpenAlexW1963855747MaRDI QIDQ4824654

Gleb Beliakov, Ľubica Valášková, Radko Mesiar

Publication date: 1 November 2004

Published in: International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0218488504002783

zbMATH Keywords

spline approximationfuzzy measurestriangular normsaggregation operators

Mathematics Subject Classification ID

Numerical computation using splines (65D07) Fuzzy measure theory (28E10)

Related Items

Construction of aggregation functions from data using linear programming ⋮ POINTWISE CONSTRUCTION OF LIPSCHITZ AGGREGATION OPERATORS WITH SPECIFIC PROPERTIES ⋮ Basic generated universal fuzzy measures ⋮ Piecewise linear aggregation functions based on triangulation ⋮ On tail dependence coefficients of transformed multivariate Archimedean copulas ⋮ On random generation of fuzzy measures ⋮ Weight selection strategies for ordered weighted average based fuzzy rough sets ⋮ GENERALIZED COMPOSITION OF BINARY AGGREGATION OPERATORS ⋮ Identification of fuzzy measures from sample data with genetic algorithms ⋮ Applying Young diagrams to 2-symmetric fuzzy measures with an application to general fuzzy measures ⋮ Generated Universal Fuzzy Measures ⋮ Unnamed Item ⋮ Unnamed Item ⋮ Learning weights in the generalized OWA operators

Uses Software

• FITPACK
• Aggregation operators approximation tool

Cites Work

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