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Task Assignment and Pricing Based on Psychological Surplus Value Model

机译:基于心理剩余价值模型的任务分配与定价

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"Take photos to make money" APP is a self-service crowdsourcing platform relying on mobile Internet, which provides various business inspection and information collection for enterprises. An excellent crowdsourcing platform needs to meet a lot of conditions, and whether the allocation of tasks and pricing is reasonable is the key. In this paper, we set up the task allocation and pricing model based on UTM projection principle, urban residents travel speed weighting method, k-means clustering, ant colony algorithm and comprehensive distance value theory. Then we use the data of “China Undergraduate Mathematical Contest in Modeling” in 2017 to test the model, which proves the robustness of the model in practical application.
机译:“拍照赚钱” APP是依靠移动互联网的自助众包平台,为企业提供各种业务检查和信息收集。一个优秀的众包平台需要满足很多条件,关键是任务分配和定价是否合理。本文基于UTM投影原理,城镇居民出行速度加权方法,k均值聚类,蚁群算法和综合距离值理论,建立了任务分配与定价模型。然后我们利用2017年“中国大学生数学建模竞赛”的数据对该模型进行了测试,证明了该模型在实际应用中的鲁棒性。

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