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On an Optimal Shape Design Problem
Sensitivity Analysis for Nonlinear Magnetic Field Simulation
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algorithm application approach approximation assumed Bandemer Bayes Bayesian inference Bayesian Statistics Berlin Bernardo calculation characterizing function Chemnitz coefficients combined sample element computation concept considered constraints context model corresponding Courant number crisp decision defined denotes density derivative described differential equations domain eigenvalues enclosing sets enclosure estimates evaluation example expert systems extension principle Figure finite element method fuzzy data analysis Fuzzy Logic fuzzy numbers fuzzy random variable fuzzy relations fuzzy set theory given grey-tone pictures H-OATA Hessian matrix imprecise inference interpretation interval mathematics Kraut Kruse Linear Programming linguistic variables mathematical statistics matrix membership function non-precise combined sample non-precise data nonlinear objects observations obtained operations optimal control Pilz possible posterior prior distribution probability Prof random variable resp respect robustness Rommelfanger SBUs Sets and Systems shape sensitivity analysis Sokolowski space specified stochastic subset t-norm Theorem truth value uncertain uncertainty vague data vector Zadeh