Title :
Research on logistics network node location model based on case-based reasoning
Author_Institution :
Sch. of Bus. Adm., Guizhou Coll. of Finance & Economic, Guiyang, China
Abstract :
Qualitative and quantitative method is the main trend of logistics network node location presently. Experience is not made use of fully, lacking of intelligentization in former location decision, therefore, this paper puts forward logistics network node location model based on case-based reasoning. It mainly analyzes matching algorithm, introduces membership degree expectation and membership degree deviation to compare the similarities of solution space, and puts forward revise and reserve method in selecting logistics node based on rules.
Keywords :
case-based reasoning; logistics; case-based reasoning; forward reserve method; forward revise method; location decision; logistics network node location model; matching algorithm; membership degree deviation; membership degree expectation; qualitative method; quantitative method; Biological system modeling; Cognition; Genetic algorithms; Industries; Learning systems; Logistics; Logistics node location; Matching algorithm; Model; Revise; case-based reasoning;
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location :
XianNing
Print_ISBN :
978-1-61284-458-9
DOI :
10.1109/CECNET.2011.5769018
