多传感器目标识别的灰色关联TOPSIS法  

Multi-sensor Target Recognition Based on TOPSIS Method Combining with Grey Relation Analysis

作　　者：阳连武[1] 冷建华[1] 黄义强[2] 

机构地区：[1]宜春学院数学与计算机科学学院 [2]宜春学院工会,江西宜春336000

出　　处：《宜春学院学报》2016年第3期6-8,27,共4页Journal of Yichun University

基　　金：国家自然科学基金(No:11361067)

摘　　要：针对多特征指标多传感器目标识别问题,提出了一种基于灰关联TOPSIS融合方法。利用置信距离作为新的属性评价值,通过求解各属性的置信距离的偏差平方和最大化的优化问题,求得属性的权重,利用灰关联度定义相对TOPSIS中的相对贴近度,进而给出目标识别方法。仿真实例验证了方法的有效性和实用性。Aiming at the target recognition problem of multi - sensor with multiple characteristic indexes, a newfusion method is proposed based on the basic ideology of traditional TOPSIS method with grey relation analysis. Themethod firstly takes the distance of confidence as a new attribute values, and then the weights of attributes are de-rived by solving the optimal programming of maximizing the total square deviation of the confidence distance for allattributes. The relative approach degree is defined using grey relational degree, and thus the rule of target recogni-tion is given. Numerical simulation illustrates the effectiveness and practicality of this proposed method.

关 键 词：多传感器 目标识别 灰色关联度 TOPSIS 

分 类 号：TP274.2[自动化与计算机技术—检测技术与自动化装置]