This paper reviews research in relation with modelling uncertainty within Decision Support Systems (DSS) from 2000 to 2011. It specifically addresses software that has been built or prototyped with the purpose of supporting actual decision making, which is able to explicitly deal with uncertainty (widely understood) on the corresponding model parameters and/or data. The main DSS features analys...

This chapter elaborates the basic concepts underlying the development of Web-based decision support systems (DSS) with a discussion on the key concepts and technical issues. The utility of Web-based decision support system in enhancing communication and decision-making capability in a distributed environment or a multiple stakeholder process (MSP) has been explained through examples with divers...

This paper aims at exploring how ICTs can improve decision-making processes and subsequently service performances in public sector services. The authors focus on a specific class of Information Systems: Decision Support Systems (DSS) and Business Intelligence (BI). The research presented will lay the ground for investigating how the impact of these technologies on public services can be evaluat...

M decision support systems (DSS) improve performance in many contexts that are data-rich, uncertain, and require repetitive decisions. But such DSS are often not designed to help users understand and internalize the underlying factors driving DSS recommendations. Users then feel uncertain about DSS recommendations, leading them to possibly avoid using the system. We argue that a DSS must be des...

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...

Many contingencies, both natural and man-made, have taught people that well coordination of organizations involved in emergency is most critical for effective response, and decisions ought to be made on the foundation of a synthetical analysis of data from multiple sources. These lessons bring new requirements for emergency Decision Support System (DSS), which include the capability of integrat...

This chapter describes and analyses the experience of the Egyptian government in spreading the awareness of information technology and its use in managing socio-economic development through building multiple information handling and decision support systems in messy, turbulent and changing environments. The successes over the past ten years in developing, implementing and sustaining stateof-the...

The earliest definitions of decision support systems (DSS) identify DSS as systems to support managerial decision makers in unstructured or semiunstructured decision situations. They are also defined as a computer-based information systems used to support decision-making activities in situations where it is not possible or not desirable to have an automated system perform the entire decision pr...

A great number of studies have been done on decision support systems. There is no work done on how a machine can intelligently help a decision maker in making appropriate choice for judgmental inputs for the decision support systems. Decisional guidance is a guidance for judgmental inputs while user is interacting with a decision support system (DSS). Traditionally the guidance provided by the ...