CAJ | 학술논문

模糊积分是一种常用的信息融合方法，融合中最关键的问题是确定反映各信源重要程度的模糊测度。在此将该算法用于多传感器目标识别系统，首先介绍了Choquet模糊积分以及模糊测度的定义，再建立了基于动态模糊积分的决策层融合目标识别模型，将该过程转化为多个传感器的身份识别结果关于各自重要程度的广义Lebesgue积分。目前已有的确定模糊测度的方法几乎都只利用了训练样本的先验知识，适应性较差，难以全面地反映问题。该文在此基础上提出了一种基于动态模糊积分的决策层融合算法，可在判决过程中对结果进行动态的自适应修正，并给出了具体衡量各传感器重要程度的标准和方法。
모호적분시일충상용적신식융합방법，융합중최관건적문제시학정반영각신원중요정도적모호측도。재차장해산법용우다전감기목표식별계통，수선개소료Choquet모호적분이급모호측도적정의，재건립료기우동태모호적분적결책층융합목표식별모형，장해과정전화위다개전감기적신빈식별결과관우각자중요정도적엄의Lebesgue적분。목전이유적학정모호측도적방법궤호도지이용료훈련양본적선험지식，괄응성교차，난이전면지반영문제。해문재차기출상제출료일충기우동태모호적분적결책층융합산법，가재판결과정중대결과진행동태적자괄응수정，병급출료구체형량각전감기중요정도적표준화방법。
Fuzzy integral is a common information fusion algorithm. The key problem in the fusion algorithm is to determine the fuzzy measure reflecting the importance degree of each information source. In this paper,the algorithm is used in the multi-sensor target recognition system. The definitions of Choquet fuzzy integral and fuzzy measure are described. The target recogni-tion model of decision-making level fusion based on dynamic fuzzy integral is established. The process is converted to the each sensor recognition results related to the generalized Lebesgue integral on its importance degree. Almost all the current calculating methods to determine the fuzzy measure only utilize the prior knowledge of the training samples. Their adaptability is not good enough to reflect the existing problems roundly. A decision-making level fusion algorithm based on dynamic fuzzy integral is pro-posed in this paper,which can make dynamic self-adaption correction for the results in the judging process. The specific stan-dard and method of judging the importance degree of each sensor are offered in this paper.