中文摘要：

在粗糙集核属性的基础上,融合小生境免疫优化提出一种决策属性约简方法.将核属性参数作为抗体编码的先验信息,通过疫苗自适应提取算法对抗体群接种疫苗,提高抗体群多样性及稳定性.为降低属性约简的计算复杂度,引入属性集合的分类近似标准作为免疫优化的亲和度,采用小生境免疫共享机制动态调整抗体群的亲和力,提高算法局部搜索能力.通过免疫记忆算子操作促使优良个体的保存,在保证收敛速度的同时具有较强的全局和局部寻优能力.通过滚动轴承故障诊断及UCI数据集的属性约简实验,显示本算法在属性约简精度和效率方面具有较好效果.

英文摘要：

On the basis of analyzing the rough set theory and immune computational theory, a hybrid attribute reduction algo- rithm is proposed in this paper. In order to enhance the diversity and stability of the antibodies group, the attribute kernel parameter is taken into antibodies coding. Then the population is vaccinated stochastically through a bacterin extraction algorithm. The approxi- mate quality is taken as the affinity function objection, which is in order to reduce computational complexity of this algorithm. A niche immune sharing mechanism is introduced in the optimization process, which can dynamically adjust the affinity of antibodies and improve the local searching ability of the population. Through all these operators to prompt the convergence speed and kept the balance of global and local optimization. The experiments of the rolling beating fault diagnosis and UCI data sets reduction have il- lustrated that the algorithm has outstanding advantages in precision and efficiency.