Application of fuzzy hypothesis testing to signal detection under uncertainty
Jean J. Saade, Harry Schwarzlander · Fuzzy Sets and Systems · 1994
Fuzzy hypothesis testing with hybrid data as developed elsewhere by the authors is applied to signal detection when the uncertainty associated with a received signal parameter cannot be modelled objectively using probability. The presence of additive Gaussian noise is assumed, and a fuzzy amplitude as well as a fuzzy signal shape are considered. A numerical example is given and the resulting probability of error performance curves are plotted and compared with the curves obtained using the minimax criterion.