针对模糊指派问题在求解方法上的欠缺,首先从模糊信息的结构特征出发,提出了描述模糊性处理意识的水平效应函数概念,建立了一种具有广泛指导意义的从整体上集中刻画模糊信息的一般模式,并给出了集中量化值的不确定性度量方法;进而建立了一类可反映决策意识的模糊指派求解模型,并结合指派问题和遗传算法的特点,给出了利用遗传算法求解模糊指派问题的具体实施策略和方法(简记为GAFAP);最后,通过Markov链理论和具体实例分析了算法的收敛性能,结果表明,该求解模型可以简捷而有效地将不确定处理意识融入决策过程中,其求解算法GAFAP具有良好的收敛性能和较高的计算效率. Aiming at the lack of solution to the problem of fuzzy assignment, this paper first proposes the concept of horizontal effect function that describes the ambiguity of fuzzy processing from the structural features of fuzzy information, and establishes a concept of horizontal effective function which has a broad guiding meaning and focuses on the overall description of fuzzy information General model and gives a measure of the uncertainty of the centralized quantitative value. Then, a fuzzy assignment model that reflects the decision-making consciousness is established. Combining with the assignment problem and the characteristics of the genetic algorithm, a genetic algorithm is proposed to solve the fuzzy Finally, the convergence performance of the algorithm is analyzed by Markov chain theory and concrete examples. The results show that the solution model can be used to integrate uncertainty awareness into the decision process easily and effectively , Its GAFAP algorithm has a good convergence performance and high computational efficiency.