Computation of the output of a function with fuzzy inputs based on a low-rank tensor approximation

DOI10.1016/j.fss.2016.03.009zbMath1370.65030OpenAlexW2311586023MaRDI QIDQ2013835

Stefan Vandewalle, Samuel Corveleyn

Publication date: 9 August 2017

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.fss.2016.03.009

zbMATH Keywords

algorithmglobal optimizationnumerical examplefuzzy numbersZadeh's extension principlefuzzy uncertaintygrid search\(\alpha\)-cut approachderivative-free optimization methodlow-rank tensorssub-exponential scaling

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonconvex programming, global optimization (90C26) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70) Numerical computation of matrix norms, conditioning, scaling (65F35)

Related Items

Challenges of order reduction techniques for problems involving polymorphic uncertainty ⋮ A two-stage surrogate model for neo-Hookean problems based on adaptive proper orthogonal decomposition and hierarchical tensor approximation

Uses Software

• TOMLAB
• OpenOpt
• MultiMin
• MLMSRBF
• EGO
• htucker
• MCS

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