Sensitivity analysis of Takagi–Sugeno fuzzy neural network

In this paper, we first define a measure of statistical sensitivity of a zero-order Takagi–Sugeno (TS) fuzzy neural network (FNN) with respect to perturbation of weights and parameters of the system. Then we derive measures of sensitivity of the system with respect to additive and multiplicative noises to the consequent parameters. For this we consider a multiple-input multiple-output (MIMO) FNN. The derivation can be easily extended to...