Previous researches clearly showed the large potential of high-entropy strategy on the adjustment of multiple properties in FEs materials, However, the high configuration entropy only implied the substitution of a high ratio of multiple exotic atoms, and the characteristic of these atoms as well as their influence on the structure of the final compositions were not revealed clearly, even though a large number of high-entropy FEs did not exhibit outstanding performance. Therefore, designing high-entropy FE materials did not involve directly adopting the high-entropy strategy used in traditional structural materials. Instead, it entailed ensuring chemical disorder while utilizing highly adjustable chemical compositions to design functional unit disorder. To achieve functional materials with excellent performance, it is necessary to simultaneously satisfy chemical disorder, structural disorder, and functional unit disorder, it is also the core principle behind designing new high-entropy functional materials. Polarization configuration design is the core for achieving excellent physical properties in FE materials, many special polarization configurations have been reported to show unique electrical properties in many studies. The high-entropy strategy shows strong operability on polarization configuration design because of the unique properties and structure of high-entropy FEs. Furthermore, the high-entropy strategy would also benefit the grain refinement, mechanical property enhancement, and entropy stabilization effects. To elucidate the regulatory mechanism of chemical disorder on polarization disorder, researchers utilized neutron/synchrotron total scattering techniques combined with reverse Monte Carlo methods to achieve atomic-level three-dimensional structure reconstruction. They quantitatively analyzed the intrinsic mechanisms of sub-nanometer ion clusters and the formation of strong polarization fluctuation polarization configurations, it served as a bridge for understanding the relationship between chemical disorder and structural functional unit disorder. Some new technologies, such as machine learning and phase field simulation, could be used for assisting the prediction of high-performance materials among endless high-entropy compositions, and high throughput experiment method can also greatly improve efficiency for exploring new compositions with novel polarization configurations. In the future, further research on high-entropy FEs should focus on the design of more novel polarization configurations to attain better performance of this kinds of materials, thereby to facilitate the application of high-entropy FEs in a wide field.