摘要
基于多属性决策综合算数平均算子的定价的目的,先选取先验数据建立多元回归模型,依次增加回归因子,结合已完成的任务价格进行验证,找出最靠近实际定价的回归方程。其次细致化的表示地域因子,拟合出更精准的方程与原方案中定价的任务数据做验证,得出更合理的新方案。又通过多属性决策计算出对应降量为2.5~10元。结合网络投票数据得出影响力较大的五个因素以及排名,用层次分析法比较矩阵计算属性权重。最后,根据地理位置不同计算出3个区域的价格平均差分别为-4.08816,1.990788,1.08014.
The pricing of photographic tasks is based on the synthetic arithmetic averaging operator of multi-attribute decision making.Firstly,the prior data are selected to establish the multiple regression model,and then the regression factors are added in turn.Finally,the regression equation closest to the actual pricing is found by validating the completed task price.Secondly,Express regional factors in detail,more accurate equation and task data in the original scheme are fitted to verify,and a more reasonable new scheme is obtained.The corresponding reduction is calculated as 2.5-10 yuan by by multi-attribute decision-making.Five influential factors and rankings are obtained from The Internet voting data,and the attribute weights are calculated by using the analytic hierarchy process comparison matrix.Finally,according to different geographical locations,the average price difference of the three regions is-4.08816,1.990788 and 1.08014,respectively.
作者
肖宇韬
李雷远
刘刚
张长江
张震
吴娱
刘维桥
XIAO Yu-tao;LI Lei-yuan;LIU Gang;ZHANG Chang-jiang;ZHANG Zhen;WU Yu;LIU Wei-qiao(Century College,Beijing University of Posts and Telecommunications,Beijing 100000,China)
出处
《电子设计工程》
2019年第23期32-38,共7页
Electronic Design Engineering
关键词
多元回归分析
层次分析法
多属性决策模型
因子
multipleregressionanalysis
analytichierarchyprocess
multipleattributedecisionmodel
factor
