基于区间数型多因素指派模型的多传感器优化分配方法

Optimization Assignment of Multi-sensor System Based on the Model of Multiple-attribute Assignment with Interval Number Information

如何在不确定的复杂环境下优化分配有限的传感器资源是传感器管理系统中的一个关键问题.在用区间数来描述这种不确定性研究思路的基础上,提出了一种新的区间数型多因素指派模型的求解方法.首先,给出了拓展的区间数型多因素指派模型.然后,采用不确定有序加权平均(Uncertain ordered weighted average,UOWA)算子集结规范化后的区间数型效率矩阵,通过逼近理想解的排序法(Technique for order preference by similarity to ideal solution,TOPSIS)确定综合效率矩阵.进一步将其转化为标准型指派问题,最后通过匈牙利法得到最优解.通过算例说明了该方法解决多传感器优化分配问题的有效性.

The optimization assignment of multi-sensors under uncertain complicated conditions is a key problem of multi-sensor management system.The uncertainty in the problem is expressed by the interval number information. Based on this thought,a new method for the multiple-attribute assignment problem with interval number information is put forward in this paper.Firstly,the extension model of multiple-attribute assignment problem with interval number information is defined.Secondly,the efficiency matrixes with interval number information are aggregated by uncertain ordered weighted average（UOWA）operator.The synthetic efficiency matrix is obtained by the method of technique for order preference by similarity to ideal solution（TOPSIS）.Then,the extension assignment problem can be changed into a standard assignment problem.Finally,it is solved by the Hungary algorithm.The validity of this method to solve multi-sensor optimization assignment is demonstrated by an example.