In this work it is presented an original methodology of multistage planning, with conflictive objectives and restrictions, incorporating the concept of uncertainties. To do so, the proposed paradigm is based on the Dynamic Programming which comprehends the multistage subject to conflictive restrictions; on the Fuzzy Sets Theory, through the decisions and fuzzy numbers, which model the uncertainties and ambiguous decisions referent to qualitative variables; and on the consideration of evolutional rules associated to network flow algorithm. In its conceptual elaboration, the paradigm is developed in a very ample way, of generalized application to a well defined class of planning problems Particularly, the model fits in the flexible planning, which has been very discussed in the recent literature. Flexible planning must be understood as the one which allows to the planner, under well-defined limits, the evaluation of the planning policy composed by strips of options (discreet or continuous), associated to uncertainty levels related to the real world. In order to validate and consolidate the theoretic concepts, it was elaborated an algorithm turned to the aggregated planning of the distribution of electric energy, that presents intrinsic characteristics which are perfectly fitted in the paradigm`s applicability. (author) 41 refs., 26 figs., 36 tabs.