摘要
针对"拍照赚钱"项目的任务定价,综合运用K-means聚类算法、相关性分析等方法,分别构建了任务定价模型、任务完成率的分析模型。用MATLAB和EXCEL软件求解,发现当会员数量一定时,完成任务的距离越远,任务定价越高;当完成任务的距离一定时,会员数量越少,任务定价越高;在会员数量足够多的前提下,任务定价越高,任务完成度越高。进一步深入分析未完成任务,利用最小二乘法给出更合理的定价模型。
A task pricing model and a task-completion rate analysis model were construct using Kmeans clustering algorithm and correlation analysis to develop a more effective pricing model for the money-making photography contest..MATLAB and EXCEL analysis discovered that when number of members is fixed,the farther a task is,the higher it is priced;when the distance is fixed for tasks,the fewer the members are there,the higher the task price is;and when members are sufficient,the higher the price is,the more tasks are completed.Unfinished tasks were then analyzed,and a better pricing model was established using the method of least squares.
作者
朱家明
曹绮琦
潘雪航
钱礼会
李春忠
ZHU Jiaming;CAO Qiqi;PAN Xuehang;QIAN Lihui;LI Chunzhong(School of Statistics and Applied Mathematics,Anhui University of Finance and Economics,Bengbu 233030,China;School of Finance and Public Management,Anhui University of Finance and Economics,Bengbu 233030,China)
出处
《厦门理工学院学报》
2018年第3期85-90,共6页
Journal of Xiamen University of Technology
基金
国家自然科学基金项目(1305070
61703001)
安徽省教育厅教育科学研究基金项目(2016ckjh007)
