Title :
Design of uncertain group decision support system and its application in intelligent transportation management
Author :
He, Shiwei ; Song, Rui ; Zhao, Qiang
Author_Institution :
Sch. of Traffic & Transp., Northern Jiaotong Univ., Beijing, China
Abstract :
Uncertain group decision support system (UGDSS) plays an important role of transportation enterprise for effectively managing and rapidly responding to the uncertain changing market. In this paper, we explore the application of system design theory, uncertain decision optimal theory and intelligence technology in the fields of intelligent transportation management system. The work has been done in three steps. First, we overview the development of uncertain optimal methods for UGDSS and discuss the advantages of distributed artificial intelligence (AI) technology for solving the traditional complex multi-agent management problem. Then, we give the architecture design of UGDSS and discuss how AI solves the conflicts of distributed group decisions with uncertain environment Finally, we show some applications in the intelligent transportation management system to illustrate the using of AI and uncertain methods for UGDSS.
Keywords :
artificial intelligence; group decision support systems; optimisation; transportation; uncertain systems; distributed artificial intelligence technology; intelligent transportation management; multiagent management problem; system design theory; transportation enterprise; uncertain decision optimal theory; uncertain group decision support system; uncertain optimization; Artificial intelligence; Automatic control; Communication system traffic control; Computer networks; Decision support systems; Information technology; Intelligent transportation systems; Rail transportation; Technology management; Vehicles;
Conference_Titel :
Intelligent Transportation Systems, 2003. Proceedings. 2003 IEEE
Print_ISBN :
0-7803-8125-4
DOI :
10.1109/ITSC.2003.1252778
