The paper proposes another extension of the extremal prin- ciple. A new extremality model involving collections of arbi- trary families of sets is studied. It generalizes the conventional model based on linear translations of given sets as well as its set-valued extensions. This approach leads to a more general and simpler version of fuzzy separation. The new model is capa- ble of treating a wider range of optimization and variational problems.