Abstract: Aming at the existing fuzzy chance constrained programming model in uncertainty planning field and the optimization method of group intelligence-particle swarm optimization algorithm,a new hybrid intelligent algorithm for fuzzy chance constrained programming models is designed.The proposed algorithm uses the fuzzy simulation and particle swarm optimization algorithm to solve this kind of programming problems.Thus it doesn't need a long time and complex calculations to getting results liking the hybrid intelligent algorithm by using genetic algorithm.The modeling and simulating examples of manufacturing decision problems show that the programming model and algorithm are reasonable and efficient.