关键词: 知识相似度, 复杂产品, 任务分配, 模糊集理论, 遗传算法

Abstract: Aiming at the inefficient assignment of task in complex product design caused by the task execution uncertainty and the knowledge structure difference among the workers,a task assignment method based on fuzzy set theory and knowledge similarity was proposed,and the task assignment scheme was solved based on genetic algorithm.Combining with the similarity between the task's knowledge requirement and the worker's knowledge structure,the skill levels of the workers were evaluated,and the task duration combined with the fuzzy set theory was calculated.The shortened task duration was taken as the objective function to obtain the optimal task assignment scheme rapidly by solving strategy with the constraints such as the task duration and the sequence among the tasks.The examples showed the effectiveness of the proposed method.

Key words: knowledge similarity, complex product, task assignment, fuzzy set theory, genetic algorithms