The Decision Systems and e-Service Intelligence Laboratory focuses on the development of theories, methods, and software tools and applications, in the areas of decision support systems, computational intelligence, uncertain information processes and e-service intelligence. Key research areas:
Decision support systems; multi-criteria decision making; multi-level decision making; fuzzy optimisation and fuzzy decision making; uncertain information processing; situation awareness; cognitive decision models; learning-based prediction; web intelligence and ontology; e-Service and e-Business intelligence; e-Government service personalisation; recommendation systems; case-based reasoning and maintenance; genetic algorithms; early warning systems; emergency and risk management.
Cloud computing is also a major research initiative in the DeSI Lab, focusing on: smart e-Government Health Systems; next-generation cloud resources management; cloud computing and e-services integration; automated service level agreement (SLA) formation, monitoring, and assurance of SLAs; could-based data analytics; all in a cloud environment. See the DeSI Lab's one-page brochure on Cloud Computing Research.
Application domains include: material, produce and service evaluation; social crisis prediction, warning and anti-terrorism; business strategy and resource planning; logistics and customer relationship management; online service systemes; and, finance situation warnings.
The 2015 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2015) is the 10th in a series of ISKE conferences. ISKE 2015 follows the successful ISKE 2006 in Shanghai (China), ISKE 2007 in Chengdu (China), ISKE 2008 in Xiamen (China), ......