A comprehensive inventory forecasting model based on data mining of demand system

被引:1
作者
De, Xia [1 ]
Zheng, Zhaoxia [2 ]
机构
[1] Wuhan Univ Technol, Sch Management, Wuhan 430070, Peoples R China
[2] Hubei Univ Technol, Sch Comp Sci, Wuhan 430068, Peoples R China
来源
2009 ISECS INTERNATIONAL COLLOQUIUM ON COMPUTING, COMMUNICATION, CONTROL, AND MANAGEMENT, VOL I | 2009年
关键词
Grey system; Data mining; Correlation; Inventory forecast;
D O I
10.1109/CCCM.2009.5268099
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
There are complex grey correlations among different demands of products as well as ones between demands and inventories. In terms of the nature of huge data reflecting this tough grey system in market, we manage to design a comprehensive inventory forecasting model, which is based on the data mining of market demand and inventory serial data. Grey theory is applied to reserve the essence of system while a data mining method is designed to screen the serial data to target critic ones as basis to inventory forecast. The model can produce valuable information about the tendency of inventory in near future.
引用
收藏
页码:388 / +
页数:2
相关论文
共 6 条
  • [1] The GM models that x(n) be taken as initial value
    Dang, YG
    Liu, SF
    Chen, KJ
    [J]. KYBERNETES, 2004, 33 (02) : 247 - 254
  • [2] DENG JL, 2002, GREY THEORY APPL MET
  • [3] CONTEXT THEORY OF CLASSIFICATION LEARNING
    MEDIN, DL
    SCHAFFER, MM
    [J]. PSYCHOLOGICAL REVIEW, 1978, 85 (03) : 207 - 238
  • [4] Sutton R., 2006, Reinforcement Learning and Artificial Intelligence
  • [5] VERMA S, 2006, IEEE T AC, V124, P1283
  • [6] STABILITY ANALYSIS OF GRAY DISCRETE-TIME-SYSTEMS
    ZHOU, CS
    DENG, JL
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1989, 34 (02) : 173 - 175