Title :
Approximate reasoning in logistics
Author :
Zimmermann, H.-J.
Author_Institution :
INFORM GmbH., Aachen, Germany
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;
Conference_Titel :
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-7078-3
DOI :
10.1109/NAFIPS.2001.943662