摘要
针对劳务众包任务定价的问题,以"拍照赚钱"这种自助服务模式为例,运用模糊C聚类、逻辑回归分析方法,建立基于数据挖掘方法下的多元线性拟合模型和逻辑回归模型等,借助MATLAB、SPSS、Excel、Google earth等软件编程求解.分析劳务众包任务定价规律和任务完成情况,结合现阶段定价所存在的缺陷改进优化原有的定价模型,并测算修正的方案实施效果.利用实证分析结果可以为众包模式改善定价策略、提高任务完成度提供帮助.
Aimed at the problem of service public package task pricing,taken ＂ picture making money＂ self-service model as an example,used fuzzy C clustering and logistic regression analysis method,the multiple linear fitting model and logistic regression model are established based on data mining method and make use of the software programming such as MATLAB,SPSS,Excel,Google earth and so on. In this paper,the pricing law and task completion of the service package task are analyzed,the original pricing model is improved by improving the existing pricing model and the effect of the revised scheme is calculated.Using the results of empirical analysis,the help for Crowd-sourcing mode to improve pricing strategy and improve the degree of mission completion can be provided.
作者
陈阳
朱家明
Chen Yang;Zhu Jiaming(Anhui University of Finance and Economic)
出处
《哈尔滨师范大学自然科学学报》
CAS
2018年第3期13-19,共7页
Natural Science Journal of Harbin Normal University
基金
国家自然科学基金项目(11601001)
关键词
众包模式
拍照赚钱
模糊C聚类
LOGISTIC模型
定价规律
Crowd - sourcing model
Take pictures to make money
Fuzzy C clustering
Logistic model
The law of pricing
