Though traditional DSS provide strong data management, modelling and visualisation capabilities for the decision maker, they do not explicitly support scenario management appropriately. Systems that purport to support scenario planning are complex and difficult to use and do not fully support all phases of scenario management. This research presents a life cycle approach for scenario management...

Decision support systems (DSS) have achieved considerable success in many areas of business activity. The type of semi-structured problem where DSS is successful frequently involves the management or configuration of vehicles or machines. While DSS has been used for human resource problems such as personnel scheduling, there have been fewer DSS applications in the area of personnel placement. T...

BACKGROUND Observational and experimental studies of the diagnostic task have demonstrated the importance of the first hypotheses that come to mind for accurate diagnosis. A prototype decision support system (DSS) designed to support GPs' first impressions has been integrated with a commercial electronic health record (EHR) system. AIM To evaluate the prototype DSS in a high-fidelity simulati...

There is a great need for domain analysis and modelling for decision support systems (DSSs) with an e0ective methodology to assist the development of DSSs. This paper discusses the object-oriented modelling of DSSs for multicriteria decision making (MCDM) in natural resource management. This approach of DSS modelling is integrated into the uniform framework based on object orientation for both ...

The scarcity of water resources throughout the world demands its optimum utilization in various sectors. Smart Sensing-enabled irrigation management systems are ideal solutions to ensure agriculture sector. This paper presents a wireless sensor network-enabled Decision Support System (DSS) for developing need-based schedule orange orchard. For efficient monitoring in-field parameters, our propo...

Maximum-distance-separable (MDS) codes are a class of erasure codes that are widely adopted to enhance the reliability of distributed storage systems (DSS). In (n, k) MDS coded DSS, the original data are stored into n distributed nodes in an efficient manner such that each storage node only contains a small amount (i.e., 1/k) of the data and a data collector connected to any k nodes can retriev...

This paper describes the ATHENA Decision Support System (DSS), which operationalizes guidelines for hypertension using the EON architecture. ATHENA DSS encourages blood pressure control and recommends guideline-concordant choice of drug therapy in relation to comorbid diseases. ATHENA DSS has an easily modifiable knowledge base that specifies eligibility criteria, risk stratification, blood pre...

The Internet of things (IoT) technologies plays a key role in the Fourth Industrial Revolution (Industry 4.0). It means digitisation industry and its services to improve productiveness. To achieve necessary information throughout different processes, useful data streams are obtained provide Artificial Intelligence Big algorithms. However, strategic decision-making based on these algorithms may ...