Inverse methods for uncertain problems

This paper proposes new methods to handle inverse problems. In particular, uncertain parameters have been taken here as fuzzy viz. Triangular Fuzzy Numbers (TFNs) involved in various physical models. Inverse approaches are very useful to approximate the unknown parameters that characterize the system when data from experimental measurements are already known. In this work we proposed different inverse approaches to approximate the unknown TFNs of various models of radon diffusion/dispersion problems with the help of obtained experimental data.