As private companies and government space agencies begin to seriously consider the task of active space debris removal, it is becoming increasingly more important to determine the highest priority objects to deorbit. This work sets forth an approach for prioritization of space debris through the utilization of Multi-Criteria Decision-Making methodologies and fuzzy logic, as well as both quantitative and qualitative criteria. The proposed debris prioritization approach considers various criteria including the orbit, size, mass, pairwise and total collision probabilities, and decay timeframe of each debris object. The means of assigning attributes to each assessment criterion is discussed in detail. To determine the weighting scheme for the criteria, a questionnaire was prepared and shared with experts in the field of space situational awareness. The work examines over two thousand critical debris objects selected from the existing debris catalog with respect to these criteria. The quantified attributes for each debris object are then aggregated through the fuzzy versions of the Analytic Hierarchy Process and the Technique for Order Preference by Similarity to Ideal Solution. The results of the analysis identify high-priority debris objects for removal from Earth-bound orbits.

随着私人公司和政府航天机构开始认真考虑主动清除空间碎片的任务，确定最高优先物体进行轨道去除变得越来越重要。这项工作提出了一种利用多标准决策方法和模糊逻辑以及定量和定性标准对空间碎片进行优先排序的方法。提议的碎片优先排序方法考虑了各种标准，包括轨道，大小，质量，成对碰撞和总碰撞概率以及每个碎片对象的衰减时间范围。详细讨论了为每个评估标准分配属性的方法。为了确定标准的加权方案，编写了一份调查表，并与空间态势感知领域的专家共享。这项工作根据这些标准检查了从现有碎片目录中选择的2000多个关键碎片对象。然后，通过“层次分析法”和“类似于理想解决方案的订单偏好技术”的模糊版本，汇总每个碎片对象的量化属性。分析结果确定了高优先级的碎片物体，可以将其从地球轨道上移走。