基于Vague集的潜艇威胁目标类型判别方法

Vague Set Based Identification of Type of Threats to Submarines

将Vague集理论引入到潜艇威胁目标类型判别问题中,建立了基于Vague集理论的潜艇威胁目标类型判别系统模型。通过满足表征目标类型隶属程度的特征参数Vague集与正负理想Vague集的最近最远距离来确定特征参数的影响权重,进一步利用特征参数Vague集与正负理想Vague集的加权距离来获得与各目标类型的贴近度值,据此来进行目标类型判别。仿真实例验证了该方法的有效性和可信度。

The Vague sets theory was introduced into identification of types of threats to submarine,and a system model was established to identify the types of threats. The affecting weights were obtained from nearest and farthest Vague distances between characteristic parameter vague set of depicting membership degree for threat targets and positive-and-negative Vague sets. The approach degree derived from weighted Vague distance between characteristic parameter vague set and ideal positive-and-negative Vague sets was used to judge the threat target type. A simulation example shows the effectiveness and creditability of the method.