The three semantics of fuzzy sets
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
On quantification of different facets of uncertainty
Fuzzy Sets and Systems
Pareto-Front Exploration with Uncertain Objectives
EMO '01 Proceedings of the First International Conference on Evolutionary Multi-Criterion Optimization
Uncertainty measures for interval type-2 fuzzy sets
Information Sciences: an International Journal
Designing robust structures - A nonlinear simulation based approach
Computers and Structures
Crown shape optimization for enhancing tire wear performance by ANN
Computers and Structures
Fuzzy optimality and evolutionary multiobjective optimization
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
Structural Optimization with Uncertainties
Structural Optimization with Uncertainties
Multi-objective optimization of problems with epistemic uncertainty
EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
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In this contribution, a structural design concept, suitable for the application to passenger car tire development process is proposed. The focus is set on one hand on providing an appropriate multi-objective optimization approach, enabling the consideration of multiple requirements which a tire should satisfy during the operating life, and on the other hand on accounting for uncertainty within the design concept. Due to the fact, that some structural parameters, considered at design stage, are specified on the basis of vague, limited or imprecise information, it is required to model them as uncertain quantities. In this contribution, the uncertainty model fuzziness is utilized. The consideration of uncertainty in the design approach enables, beside the optimization of the objective functions, also robustness quantification and optimization. Numerical efficiency of the proposed methodology is increased through the substitution of the expensive FE tire analysis by a neural network based response surface approximation.