Title :
Study on an Assignment Problem with Multi-Mode and Multi-Resource Information Fusing
Author :
Hou, Caihong ; Li, Hongxia ; Ding, Yongsheng
Author_Institution :
Dept. of Manage., Shanghai Customs Coll., Shanghai, China
Abstract :
Traditional assignment problem can not deal with fuzzy and uncertain evaluation data, which hinders the development of assignment problem (AP). With the deep study on subjective evaluation and linguistic model, we presented an improved 2-Tuple model for task assignment with multi-mode and multi-resource information. By using the model, we could standardize and fuse the evaluation data, and then find out the Assignment project. The assumption of assignment in customs risk management proved the effectiveness of the model.
Keywords :
linear programming; risk management; sensor fusion; tariffs; 2-tuple task assignment model; assignment problem; customs risk management; multimode information fusion; multiresource information fusion; Computational modeling; Data models; Fuses; Open wireless architecture; Pragmatics; Semantics; Transforms;
Conference_Titel :
Intelligent Systems and Applications (ISA), 2011 3rd International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9855-0
Electronic_ISBN :
978-1-4244-9857-4
DOI :
10.1109/ISA.2011.5873444
