模糊遗传算法在敏感词分类优化中的应用

摘要

In allusion to the shortcoming existed in previous sensitive words classification optimization, this paper proposed an optimization method which put the classification on the basis of fuzzy genetic algorithm. The method applied fuzzy logic theory to genetic algorithm, simulated the process and mechanism of biological evolution to figure out the actual problem of sensitive word qualitative structure optimization. Studies show that the method has a good effect on optimization classification for the change of part-of-speech and structure of sensitive words, thereby it ensures a holistic classification quality, rapid classification efficiency, robust and reliable classification performance.%针对以往敏感词分类优化的不足,提出一种基于模糊遗传算法的敏感词分类优化方法,该方法把模糊逻辑理论用于遗传算法,模拟生物进化过程和机制来求解实际的敏感词定性结构优化问题.研究表明,对于敏感词词性以结构的变化有很好的分类优化效果,从而保证了整体的分类质量、快速的分类效率、鲁棒和可靠的分类性能.