The research into agent-based intelligent decision support systems is important to the medical industry because these systems can be used to improve the quality of healthcare in many ways. The areas these systems can be used in are diverse from the storage of medical records to the examination...

Decision Support Systems under Multiple Objectives (MODSS) has been classified as a specific type of system within the broad family of DSS and has been one of the most active areas of research. However, despite its theoretical development large scale real-world applications of multi-objective...

This paper describes a project that extends the multiple objective decision support system (MODSS) by offering knowledge-based guidance to an intelligent multiple objective decision support system (IMODSS). This IMODSS integrates expert system (ES), multiple objective decision-making (MODM)...

Recent reviews of DSS research have indicated a need to improve its quality and relevance. Design science has an important role to play in this improvement as this research strategy can engage industry and the profession in intellectually important projects. DSS has a long history of design...

Criminal elements in today's technology-driven society are using every means available at their disposal to launder the proceeds from their illegal activities. While many-anti-money laundering solutions have been in place for some time within the financial community, they cannot adapt to the...

ERP Systems are developed to assist information management and analysis to organisations for gaining business advantage. Although ERP systems claim to produce competitive advantage for companies investing on ERP, it is still questionable (See [9]: Powell, 1997). This is also valid for IT in...

In this study we develop a Decision Support System tool to monitor and understand the characteristics of emergency departments of NSW Hospitals management systems in detail to find cost effective solutions to service quality improvements. In the past researchers have used statistical,...

In the past, researches have used statistical, operational research or simulation techniques, in finding solutions to improve management systems. In contrast to these procedures, we introduce a new way of integrating operations research and statistics to build an Operational Statistics Model and...