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供需模型在众包平台定价中的应用
引用本文:付宇婷,陈凌峰,余 盈,李祥凤.供需模型在众包平台定价中的应用[J].经济数学,2018(1):74-76.
作者姓名:付宇婷  陈凌峰  余 盈  李祥凤
作者单位:湖南师范大学数学与计算机科学学院;
摘    要:以众包平台为对象,基于已有数据,考虑供求关系,通过因子分析法对原始数据加以处理,建立任务的定价模型.在实际应用中,可以对分布密集的任务进行打包,并给出针对这种情况的定价模型.结果表明:提出的模型不仅考虑了会员人数与任务数量的关系,还考虑了个人需求的差异,提高了任务的完成度,对众包平台定价的发展与完善有着重要的意义.

关 键 词:众包  供需关系  因子分析法  多层感知器神经网络

Application of Supply and Demand Model in Crowdsourcing Platform Pricing
FU Yuting,CHEN Lingfeng,YU Ying,LI Xiangfeng.Application of Supply and Demand Model in Crowdsourcing Platform Pricing[J].Mathematics in Economics,2018(1):74-76.
Authors:FU Yuting  CHEN Lingfeng  YU Ying  LI Xiangfeng
Abstract:Taking the crowdsourcing platform as an object and considering the relationship between supply and demand, the factor analysis was used to deal with the original data and the task pricing model was establish based on the existing data, use. The results show that the proposed model not only considers the relationship between the number of members and the number of tasks, but also considers the differences of individual needs, improving the degree of completion of tasks, which is of great significance to the development and improvement of the pricing of crowdsourcing platform.
Keywords:crowdsourcing  supply and demand relationship  factor analysis  multilayer perceptron neural networks
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