基于模糊区间的智能交通中信息融合性能评估方法研究

Research of Information Fusion Evaluation Methodology Based on Fuzzy Interval in Intelligent Traffic[HS)]

摘要:

以智能交通的应用为背景建立了信息融合性能指标体系, 给出了一种用于多传感器信息融合性能测试与评估的系统结构;提出了信息融合过程中基于模糊区间目标之间优势关系评价方法,从对目标实现排序的情况进行分析讨论,将对目标的两两比较与一个目标优于其它目标的可信度联系起来,对目标之间一致性和不一致性进行定义,给出优势阈值和非不同阈值的概念,讨论了基于模糊区间的目标评价方法,为基于不同属性标准的评价进行综合处理提供了理论基础。

Abstract:

The theories and methods of performance evaluation for multi-sensor data fusion system based on Fuzzy Interval are discussed. A information fusion performance criteria system is founded with Intelligent Traffic applications as background, the evaluation process is similar to the decision process, The method of multiple criteria decision-making based on fuzzy preference relation are based on pair comparisons, in the sense that processes are linked to some degree of credibility of preference of any object over any other object. Proposing the idea of translating imprecision or ambiguity in measurement of an alternative for a given point of view with the use of a fuzzy set in R which is a set of ordered pairs {x,μ^a_j(x)} where μ^a_j(x)is termed “the grade of membership of x” for alternative a related to j. The concept of preference threshold and indifference threshold and aggregation function are given, and definition of concordance index and discordance index are presented too. This offered theoretical foundation for aggregation based on all evaluations from attributes.