CAJ | 학술논문

基于随机集理论运动物体轨迹的检测、提取、识别和跟踪是比较前沿的研究课题之一；有限集统计理论的核心是多源、多目标微积分计算。随着GPS、GIS的快速发展，为GPS、GIS提出了更高的要求；怎样处理具有多源、多目标传感器“模糊”数据是当前工程技术人员急需解决的问题。将贝叶斯方法论进行推广，利用有限集统计理论的专家系统方法（如模糊理论、D-S证据理论），可以使得不完整特性的传感器数据得到处理。
기우수궤집이론운동물체궤적적검측、제취、식별화근종시비교전연적연구과제지일；유한집통계이론적핵심시다원、다목표미적분계산。수착GPS、GIS적쾌속발전，위GPS、GIS제출료경고적요구；즘양처리구유다원、다목표전감기“모호”수거시당전공정기술인원급수해결적문제。장패협사방법론진행추엄，이용유한집통계이론적전가계통방법（여모호이론、D-S증거이론），가이사득불완정특성적전감기수거득도처리。
Based on the motion detection, random set theory object recognition and tracking is a research subject of frontier, the core of finite set statistics theory is to calculate the multi-source, multi object calcu-lus. With the rapid development of GPS GIS put forward higher require ments for GPS GIS, How to deal with multi-source, multi target sensor"fuzzy"data is the current solution of engineering and technical person-nel in urgent need of the problem. The Bias methodology is extended, the expert system method using the fi-nite set statistics theory (such as fuzzytheory, D-S theory of evidence), It can make Incomplete Characteristic’ s Sensor data to get a better deal.