摘要：
对空间众包这一新型分布式解决方案而言,提高众包绩效是亟须解决的问题,而任务的定价策略与众包绩效的提升具有密切相关性.提出等效任务代表点的概念,研究原有任务定价规律与任务密度、会员密度、会员平均信誉度、最邻近可达距离4个因素的关系.在此基础上从发包方、平台以及接包方3个角度出发,针对任务实现的4个步骤,分别建立了多目标的任务定价模型、会员动态抢单模型、任务分配模型以及任务完成概率预测模型.进而运用TOPSIS法计算不同方案的综合评价指数,排序选取最优任务定价方案.最后将优化后的方案与原方案进行对比,在保证发包方总成本尽可能低的情况下,平台任务完成率、会员个人平均收益以及单位信誉值转换的酬金均显著提高,即众包绩效得以提升.结果验证了该模型的可行性与有效性,为空间众包平台的任务定价提供了借鉴与参考.%Firstly, based on the theory of space crowdsourcing, the concept of equivalent task representative points was proposed. The relationship among the original task pricing law and task density, membership densi-ty, member average credibility and nearest neighbor reach distance were studied. Then, from the perspectives of the contractor, the platform and the contractor, a task pricing model based on multi-objective programming, a member dynamic grab order model, a task allocation model, and a task completion probability prediction model were established respectively. Furthermore, the TOPSIS method was used to calculate the comprehensive evaluation index of different pricing schemes, and thento choose the optimal task pricing scheme by the ranking result of the comprehensive evaluation index. Finally, the optimized scheme was com-pared with the original scheme. In the condition that the total cost of the contractor was as low as possible, the platform task completion rate, the average individual member income and the unit reputation value conversion rewards were significantly improved, that is, the crowdsourcing performance were improved. The result verified the feasibility and effectiveness of the model and provided reference for the task pricing of the crowdsourcing platform.
