This paper presents a decision support system, called FPS (Fuzzy Project Scheduling), for solving a problem of an allocation of renewable resources among nonpreemtable and dependent activities, talking into account three criteria: project completion time, maximum lateness and mean flow time, under uncertain time parameters. By time parameters we understand: durations, ready times and due dates of particular activities. Uncertainty of these parameters is modelled by means of L—R fuzzy numbers. A general procedure for transforming the fuzzy scheduling problem into a set of associate are generated for given α-cuts. Optimistic and pessimistic schedules are generated for given α-levels. The comparison of obtained fuzzy result is based on the compensation of areas determined by membership function. The FPS system is described and illustrated using a real, agricultural example.