• DocumentCode
    1750595
  • Title

    Approximate reasoning in logistics

  • Author

    Zimmermann, H.-J.

  • Author_Institution
    INFORM GmbH., Aachen, Germany
  • fYear
    2001
  • fDate
    25-28 July 2001
  • Firstpage
    2763
  • Abstract
    Fuzzy technology has already been used considerably in different areas of logistics primarily for evaluation of traffic flows, for data mining in traffic management, for data fusion in traffic supervision and for fuzzifying existing control devices. It is now being used to considerably reduce the complexity of online decision making in container handling, making it more flexible and adaptive to quickly changing conditions. So far the experiences are encouraging, but considerably more work is needed to make approximate reasoning an attractive and reliable tool for decision automation and decision support
  • Keywords
    data mining; decision support systems; inference mechanisms; logistics data processing; transportation; approximate reasoning; container Terminals; decision support systems; logistic assignment; traffic management; transportation; Clustering algorithms; Costs; Dispatching; Fuzzy control; Fuzzy sets; Fuzzy systems; Logistics; Technology management; Traffic control; Transportation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-7078-3
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2001.943662
  • Filename
    943662