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对证据理论和直觉模糊集理论之间的本质联系进行分析,提出一种基于直觉模糊集改进的证据合成实用算法用于多传感器目标识别.根据直觉模糊集中隶属度和非隶属度的概念,对证据理论的可信度函数模型进行改进,提出了直觉模糊可信度分配函数模型并构造了相应的证据合成规则,以提高证据合成计算效率,使合成结果便于最终决策.通过与其他算法的对比实验验证了所提出算法的有效性.
Based on the analysis of the essential connection between evidence theory and intuitionistic fuzzy set theory, an improved evidence synthesis practical algorithm based on intuitionistic fuzzy set is proposed for multi-sensor target recognition.Based on the concept of intuitionistic fuzzy membership and non-membership, The credibility function model of evidence theory is improved, and an intuitionistic fuzzy confidence distribution function model is proposed and corresponding evidence synthesis rules are constructed to improve the efficiency of evidence synthesis and to make the synthesis result more convenient for the final decision.Compared with other algorithms Experimental results show the effectiveness of the proposed algorithm.