The article reviews a theory called uncertain portfolio selection, which uses human estimates and uncertainty theory to choose portfolios. It explains how this theory is different from traditional stochastic portfolio theory and when it should be used. The article introduces different ways to measure risk in portfolios, discusses basic models for uncertain portfolio selection, and outlines future research directions in this area.